Text_classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.utils_contributions import *\n",
    "import torch.nn.functional as F\n",
    "from src.contributions import ModelWrapper, ClassificationModelWrapperCaptum, interpret_sentence, occlusion\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import json\n",
    "import random\n",
    "random.seed(10)\n",
    "\n",
    "from collections import defaultdict\n",
    "\n",
    "import torch.nn as nn\n",
    "\n",
    "device = \"cuda\" if torch.cuda.is_available() else \"cpu\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load model and tokenizer (BERT, DistilBERT, RoBERTa)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading distilbert ...\n",
      "Loading sst2 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Reusing dataset glue (/home/usuaris/veu/javier.ferrando/.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad)\n"
     ]
    }
   ],
   "source": [
    "model_name = 'distilbert'\n",
    "dataset_name = 'sst2'\n",
    "model, tokenizer, dataset_partition = load_model_data(model_name,dataset_name)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentence = dataset_partition[403] #403, 17, 1360, 1453, 1815\n",
    "# short -> 54\n",
    "if dataset_name == 'sst2':\n",
    "    text = sentence['sentence']\n",
    "\n",
    "elif dataset_name == 'imdb' or dataset_name =='yelp':\n",
    "    text = sentence['text']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tokenize text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "an engaging overview of johnson 's eccentric career .\n",
      "['[CLS]', 'an', 'engaging', 'overview', 'of', 'johnson', \"'\", 's', 'eccentric', 'career', '.', '[SEP]']\n"
     ]
    }
   ],
   "source": [
    "print(text)\n",
    "pt_batch = tokenizer(text, return_tensors=\"pt\", return_token_type_ids= False).to(device)\n",
    "input_ids = pt_batch['input_ids']\n",
    "tokenized_text = tokenizer.convert_ids_to_tokens(pt_batch[\"input_ids\"][0])\n",
    "print(tokenized_text)\n",
    "seq_len = len(tokenized_text)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Forward pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "probs tensor([[1.2569e-04, 9.9987e-01]], device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "tensor(0.9999, device='cuda:0')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_wrapped = ModelWrapper(model)\n",
    "prediction_scores, hidden_states, attentions, contributions_data = model_wrapped(pt_batch)\n",
    "\n",
    "probs = torch.nn.functional.softmax(prediction_scores, dim=-1)\n",
    "print('probs',probs)\n",
    "pred_ind = torch.argmax(probs)\n",
    "pred = torch.max(probs)\n",
    "pred"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting attention weights, attention vector norms and contributions from ALTI method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "_attentions = [att.detach().cpu().numpy() for att in attentions]\n",
    "attentions_mat = np.asarray(_attentions)[:,0] # (num_layers,num_heads,src_len,src_len)\n",
    "att_mat_sum_heads = attentions_mat.sum(axis=1)/attentions_mat.shape[1]\n",
    "normalized_model_norms = normalize_contributions(contributions_data['transformed_vectors_norm'],scaling='sum_one')\n",
    "resultant_norm = resultants_norm = torch.norm(torch.squeeze(contributions_data['resultants']),p=1,dim=-1)\n",
    "# ALTI Requires scaling = min_sum\n",
    "normalized_contributions = normalize_contributions(contributions_data['contributions'],scaling='min_sum',resultant_norm=resultant_norm)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rollout with attention weights (Abnar and Zuidema, 2020)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "joint_attention_rollout = compute_rollout(att_mat_sum_heads)\n",
    "joint_attention_rollout_cls = joint_attention_rollout[-1][0]\n",
    "joint_attention_rollout = joint_attention_rollout.cpu().detach().numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "layer = -1\n",
    "plt.figure(figsize=(6,6))\n",
    "df = pd.DataFrame(joint_attention_rollout[layer],columns=tokenized_text,index=tokenized_text)\n",
    "sns.heatmap(df,cmap=\"Blues\",square=True)\n",
    "plt.gcf().subplots_adjust(bottom=0.2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Attention rollout + |T(x_j)| (Kobayashi et al., 2021)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "norms_mix = compute_joint_attention(normalized_model_norms)\n",
    "norm_rollout_cls = norms_mix[-1][0]\n",
    "norms_mix = norms_mix.detach().cpu().numpy()\n",
    "plt.figure(figsize=(6,6))\n",
    "joint_attention_layer = -1\n",
    "df = pd.DataFrame(norms_mix[joint_attention_layer],columns=tokenized_text,index=tokenized_text)\n",
    "sns.heatmap(df,cmap=\"Blues\",square=True)\n",
    "plt.gcf().subplots_adjust(bottom=0.2)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ALTI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.float32\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(normalized_contributions.dtype)\n",
    "contributions_mix = compute_joint_attention(normalized_contributions)\n",
    "joint_attention_layer = -1\n",
    "pos=0\n",
    "contributions_mix_cls = contributions_mix[joint_attention_layer][pos]\n",
    "plot_histogram(contributions_mix_cls,tokenized_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "contributions_mix = compute_joint_attention(normalized_contributions)\n",
    "contributions_mix = contributions_mix.detach().cpu().numpy()\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "df = pd.DataFrame(contributions_mix[joint_attention_layer],columns=tokenized_text,index=tokenized_text)\n",
    "sns.set(font_scale=1.4)\n",
    "sns.heatmap(df, cmap=\"Blues\", square=True, ax = ax)#Reds,,center=0\n",
    "ax.add_patch(Rectangle((0.01,0.008), seq_len-0.03, 1, fill=False, edgecolor='#1764AB', lw=1))\n",
    "plt.gcf().subplots_adjust(bottom=0.2)\n",
    "#plt.savefig(f'img/relevances_example_bert.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 4000x2600 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "try:\n",
    "    num_layers = model.config.num_hidden_layers\n",
    "except:\n",
    "    num_layers = model.config.n_layers\n",
    "\n",
    "if num_layers == 12:\n",
    "    fig, axs = plt.subplots(3, 4,figsize=(25,19), dpi=200,sharey=False)\n",
    "    row = 4\n",
    "    col = 4\n",
    "elif num_layers == 6:\n",
    "    fig, axs = plt.subplots(2, 3,figsize=(20,13), dpi=200,sharey=False)\n",
    "    row = 3\n",
    "    col = 3\n",
    "\n",
    "for layer in range(0,num_layers):\n",
    "    df = pd.DataFrame(contributions_mix[layer],columns=tokenized_text,index=tokenized_text)\n",
    "    sns.heatmap(df,cmap=\"Blues\",square=True,ax=axs[int(layer/row),layer%col],cbar_kws={'shrink': 0.8})\n",
    "    #sns.set(font_scale=1)\n",
    "    axs[int(layer/row),layer%col].set_title('Layer ' + str(layer+1),fontdict={'fontsize':16})\n",
    "    axs[int(layer/row),layer%col].tick_params(axis='x', rotation=90)\n",
    "    axs[int(layer/row),layer%col].set_xticklabels(axs[int(layer/row),layer%col].get_xmajorticklabels(), fontsize = 12)\n",
    "    axs[int(layer/row),layer%col].set_yticklabels(axs[int(layer/row),layer%col].get_ymajorticklabels(), fontsize = 12)\n",
    "\n",
    "fig.tight_layout()\n",
    "#plt.savefig(f'img/layers_relevances_example_bert.png', bbox_inches='tight')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other attribution methods with Captum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.contributions import ModelWrapper, ClassificationModelWrapperCaptum, interpret_sentence\n",
    "\n",
    "bert_model_wrapper = ClassificationModelWrapperCaptum(model)\n",
    "grad_attributions = interpret_sentence(bert_model_wrapper, tokenizer, input_ids, 'grad', pred_ind)\n",
    "grad_input_attributions = interpret_sentence(bert_model_wrapper, tokenizer, input_ids, 'grad_input', pred_ind)\n",
    "grad_ig_attributions = interpret_sentence(bert_model_wrapper, tokenizer, input_ids, 'ig', pred_ind)\n",
    "grad_input_attributions = grad_input_attributions['l2']\n",
    "grad_ig_attributions = grad_ig_attributions['l2']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bpe2word(tokenized_sentence):\n",
    "    word_i = 0\n",
    "    word_to_bpe = []\n",
    "    for bpe_i, token in enumerate(tokenized_sentence):\n",
    "        if not token.startswith(\"##\"):\n",
    "            word_i += 1\n",
    "            word_to_bpe.append([bpe_i])\n",
    "        else:\n",
    "            word_to_bpe[word_i-1].append(bpe_i)\n",
    "    return word_to_bpe\n",
    "\n",
    "def merge_contributions(word_to_bpe, word_bpe_contributions):\n",
    "    words_contrib = []\n",
    "    for word in word_to_bpe:\n",
    "        word_contrib_sum = 0\n",
    "        for subword in word:\n",
    "            word_contrib_sum += word_bpe_contributions[subword]\n",
    "        words_contrib.append(word_contrib_sum)\n",
    "    return torch.tensor(words_contrib)\n",
    "\n",
    "def construct_words(word_to_bpe, tokenized_text):\n",
    "    word_list = []\n",
    "    for word in word_to_bpe:\n",
    "        word_parts = []\n",
    "        for subword in word:\n",
    "            word_parts.append(tokenized_text[subword])\n",
    "        complete_word = ''.join(word_parts).replace('#','')\n",
    "        word_list.append(complete_word)\n",
    "    return word_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table width: 100%><div style=\"border-top: 1px solid; margin-top: 5px;             padding-top: 5px; display: inline-block\"><b>Legend: </b><span style=\"display: inline-block; width: 10px; height: 10px;                 border: 1px solid; background-color:                 hsl(0, 75%, 60%)\"></span> Negative  <span style=\"display: inline-block; width: 10px; height: 10px;                 border: 1px solid; background-color:                 hsl(0, 75%, 100%)\"></span> Neutral  <span style=\"display: inline-block; width: 10px; height: 10px;                 border: 1px solid; background-color:                 hsl(120, 75%, 50%)\"></span> Positive  </div><tr><th>True Label</th><th>Predicted Label</th><th>Attribution Label</th><th>Attribution Score</th><th>Word Importance</th><tr><td><text style=\"padding-right:2em\"><b>1</b></text></td><td><text style=\"padding-right:2em\"><b>1 (1.00)</b></text></td><td><text style=\"padding-right:2em\"><b>label</b></text></td><td><text style=\"padding-right:2em\"><b>4.92</b></text></td><td><mark style=\"background-color: hsl(120, 75%, 50%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [CLS]                    </font></mark><mark style=\"background-color: hsl(120, 75%, 94%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> an                    </font></mark><mark style=\"background-color: hsl(120, 75%, 54%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> engaging                    </font></mark><mark style=\"background-color: hsl(120, 75%, 52%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> overview                    </font></mark><mark style=\"background-color: hsl(120, 75%, 95%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> of                    </font></mark><mark style=\"background-color: hsl(120, 75%, 84%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> johnson                    </font></mark><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> '                    </font></mark><mark style=\"background-color: hsl(120, 75%, 96%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> s                    </font></mark><mark style=\"background-color: hsl(120, 75%, 59%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> eccentric                    </font></mark><mark style=\"background-color: hsl(120, 75%, 85%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> career                    </font></mark><mark style=\"background-color: hsl(120, 75%, 96%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> .                    </font></mark><mark style=\"background-color: hsl(120, 75%, 95%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [SEP]                    </font></mark></td><tr><tr><td><text style=\"padding-right:2em\"><b>1</b></text></td><td><text style=\"padding-right:2em\"><b>1 (1.00)</b></text></td><td><text style=\"padding-right:2em\"><b>label</b></text></td><td><text style=\"padding-right:2em\"><b>3.86</b></text></td><td><mark style=\"background-color: hsl(120, 75%, 92%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [CLS]                    </font></mark><mark style=\"background-color: hsl(120, 75%, 94%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> an                    </font></mark><mark style=\"background-color: hsl(120, 75%, 54%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> engaging                    </font></mark><mark style=\"background-color: hsl(120, 75%, 50%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> overview                    </font></mark><mark style=\"background-color: hsl(120, 75%, 97%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> of                    </font></mark><mark style=\"background-color: hsl(120, 75%, 84%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> johnson                    </font></mark><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> '                    </font></mark><mark style=\"background-color: hsl(120, 75%, 96%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> s                    </font></mark><mark style=\"background-color: hsl(120, 75%, 62%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> eccentric                    </font></mark><mark style=\"background-color: hsl(120, 75%, 84%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> career                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> .                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [SEP]                    </font></mark></td><tr><tr><td><text style=\"padding-right:2em\"><b>1</b></text></td><td><text style=\"padding-right:2em\"><b>1 (1.00)</b></text></td><td><text style=\"padding-right:2em\"><b>label</b></text></td><td><text style=\"padding-right:2em\"><b>3.47</b></text></td><td><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [CLS]                    </font></mark><mark style=\"background-color: hsl(120, 75%, 83%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> an                    </font></mark><mark style=\"background-color: hsl(120, 75%, 50%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> engaging                    </font></mark><mark style=\"background-color: hsl(120, 75%, 82%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> overview                    </font></mark><mark style=\"background-color: hsl(120, 75%, 90%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> of                    </font></mark><mark style=\"background-color: hsl(120, 75%, 86%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> johnson                    </font></mark><mark style=\"background-color: hsl(120, 75%, 86%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> '                    </font></mark><mark style=\"background-color: hsl(120, 75%, 87%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> s                    </font></mark><mark style=\"background-color: hsl(120, 75%, 88%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> eccentric                    </font></mark><mark style=\"background-color: hsl(120, 75%, 86%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> career                    </font></mark><mark style=\"background-color: hsl(120, 75%, 92%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> .                    </font></mark><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [SEP]                    </font></mark></td><tr><tr><td><text style=\"padding-right:2em\"><b>1</b></text></td><td><text style=\"padding-right:2em\"><b>1 (1.00)</b></text></td><td><text style=\"padding-right:2em\"><b>label</b></text></td><td><text style=\"padding-right:2em\"><b>2.35</b></text></td><td><mark style=\"background-color: hsl(120, 75%, 50%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [CLS]                    </font></mark><mark style=\"background-color: hsl(120, 75%, 98%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> an                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> engaging                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> overview                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> of                    </font></mark><mark style=\"background-color: hsl(120, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> johnson                    </font></mark><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> '                    </font></mark><mark style=\"background-color: hsl(120, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> s                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> eccentric                    </font></mark><mark style=\"background-color: hsl(120, 75%, 99%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> career                    </font></mark><mark style=\"background-color: hsl(120, 75%, 90%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> .                    </font></mark><mark style=\"background-color: hsl(120, 75%, 55%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [SEP]                    </font></mark></td><tr><tr><td><text style=\"padding-right:2em\"><b>1</b></text></td><td><text style=\"padding-right:2em\"><b>1 (1.00)</b></text></td><td><text style=\"padding-right:2em\"><b>label</b></text></td><td><text style=\"padding-right:2em\"><b>7.08</b></text></td><td><mark style=\"background-color: hsl(120, 75%, 64%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [CLS]                    </font></mark><mark style=\"background-color: hsl(120, 75%, 58%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> an                    </font></mark><mark style=\"background-color: hsl(120, 75%, 64%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> engaging                    </font></mark><mark style=\"background-color: hsl(120, 75%, 54%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> overview                    </font></mark><mark style=\"background-color: hsl(120, 75%, 80%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> of                    </font></mark><mark style=\"background-color: hsl(120, 75%, 85%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> johnson                    </font></mark><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> '                    </font></mark><mark style=\"background-color: hsl(120, 75%, 91%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> s                    </font></mark><mark style=\"background-color: hsl(120, 75%, 79%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> eccentric                    </font></mark><mark style=\"background-color: hsl(120, 75%, 74%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> career                    </font></mark><mark style=\"background-color: hsl(120, 75%, 50%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> .                    </font></mark><mark style=\"background-color: hsl(120, 75%, 51%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [SEP]                    </font></mark></td><tr><tr><td><text style=\"padding-right:2em\"><b>1</b></text></td><td><text style=\"padding-right:2em\"><b>1 (1.00)</b></text></td><td><text style=\"padding-right:2em\"><b>label</b></text></td><td><text style=\"padding-right:2em\"><b>3.07</b></text></td><td><mark style=\"background-color: hsl(0, 75%, 100%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [CLS]                    </font></mark><mark style=\"background-color: hsl(120, 75%, 87%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> an                    </font></mark><mark style=\"background-color: hsl(120, 75%, 50%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> engaging                    </font></mark><mark style=\"background-color: hsl(120, 75%, 59%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> overview                    </font></mark><mark style=\"background-color: hsl(120, 75%, 95%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> of                    </font></mark><mark style=\"background-color: hsl(120, 75%, 95%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> johnson                    </font></mark><mark style=\"background-color: hsl(120, 75%, 98%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> '                    </font></mark><mark style=\"background-color: hsl(120, 75%, 96%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> s                    </font></mark><mark style=\"background-color: hsl(120, 75%, 87%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> eccentric                    </font></mark><mark style=\"background-color: hsl(120, 75%, 91%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> career                    </font></mark><mark style=\"background-color: hsl(120, 75%, 97%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> .                    </font></mark><mark style=\"background-color: hsl(120, 75%, 96%); opacity:1.0;                     line-height:1.75\"><font color=\"black\"> [SEP]                    </font></mark></td><tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "word2bpe = bpe2word(tokenized_text)\n",
    "word_list = construct_words(word2bpe, tokenized_text)\n",
    "\n",
    "word_contributions = True\n",
    "\n",
    "\n",
    "\n",
    "# accumulate samples in this array for visualization purposes\n",
    "vis_data_records_ig = []\n",
    "\n",
    "def add_attributions_to_visualizer(attributions, tokens, pred, label, vis_data_records):\n",
    "    attributions_min_max = normalize_attribution_visualization(attributions)\n",
    "    attributions_min_max = attributions_min_max.cpu().detach().numpy()\n",
    "\n",
    "    \n",
    "    # storing couple samples in an array for visualization purposes\n",
    "    vis_data_records.append(visualization.VisualizationDataRecord(\n",
    "                            attributions_min_max,\n",
    "                            pred,\n",
    "                            label,\n",
    "                            label,\n",
    "                            \"label\",\n",
    "                            attributions_min_max.sum(),       \n",
    "                            tokens[:len(attributions_min_max)],\n",
    "                            0))\n",
    "    return attributions_min_max\n",
    "\n",
    "if word_contributions == True:\n",
    "    grad_attributions = merge_contributions(word2bpe, grad_attributions)\n",
    "    grad_input_attributions = merge_contributions(word2bpe, grad_input_attributions)\n",
    "    grad_ig_attributions = merge_contributions(word2bpe, grad_ig_attributions)\n",
    "    joint_attention_rollout_cls = merge_contributions(word2bpe, joint_attention_rollout_cls)\n",
    "    norm_rollout_cls = merge_contributions(word2bpe, norm_rollout_cls)\n",
    "    contributions_mix_cls = merge_contributions(word2bpe, contributions_mix_cls)\n",
    "    tokens = word_list\n",
    "else:\n",
    "    tokens = tokenizer.convert_ids_to_tokens(pt_batch[\"input_ids\"][0].cpu().detach().numpy().tolist())\n",
    "min_max_grad_attributions = add_attributions_to_visualizer(grad_attributions, tokens, pred, pred_ind, vis_data_records_ig)\n",
    "min_max_grad_input_attributions = add_attributions_to_visualizer(grad_input_attributions, tokens, pred, pred_ind, vis_data_records_ig)\n",
    "min_max_grad_ig_attributions = add_attributions_to_visualizer(grad_ig_attributions, tokens, pred, pred_ind, vis_data_records_ig)\n",
    "min_max_joint_attention_rollout_cls = add_attributions_to_visualizer(joint_attention_rollout_cls, tokens, pred, pred_ind, vis_data_records_ig)\n",
    "min_max_norm_rollout_cls = add_attributions_to_visualizer(norm_rollout_cls, tokens, pred, pred_ind, vis_data_records_ig)\n",
    "min_max_contributions_mix_cls = add_attributions_to_visualizer(contributions_mix_cls, tokens, pred, pred_ind, vis_data_records_ig)\n",
    "\n",
    "visualization.visualize_text(vis_data_records_ig);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare saliency maps for latex tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "attributions_list = []\n",
    "attributions_list.append(min_max_grad_attributions[1:-1])\n",
    "attributions_list.append(min_max_grad_input_attributions[1:-1])\n",
    "attributions_list.append(min_max_grad_ig_attributions[1:-1])\n",
    "attributions_list.append(min_max_joint_attention_rollout_cls[1:-1])\n",
    "attributions_list.append(min_max_norm_rollout_cls[1:-1])\n",
    "attributions_list.append(min_max_contributions_mix_cls[1:-1])\n",
    "prepare_colorize()\n",
    "methods_list = [0,1,2,3,4,5]\n",
    "methods_dict = {0:'$\\\\text{Grad}_{\\ell_2}$', 1:r'G$\\times$I$_{\\ell_2}$', 2:r'IG$_{\\ell_2}$', 3:'Rollout', 4:'Norm Rollout', 5:'ALTI'}\n",
    "if word_contributions == True:\n",
    "    figure_saliency(attributions_list, word_list[1:-1], methods_list,methods_dict)\n",
    "else:\n",
    "    figure_saliency(attributions_list, tokenized_text[1:-1], methods_list,methods_dict)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "words_weights = [(tokenized_text[i], element.item()) for i, element in enumerate(min_max_grad_attributions)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('latex_saliency/figure.tex', 'w') as f:\n",
    "    f.write(latex_colorize(tokenized_text, list(min_max_grad_attributions))+'\\\\\\\\\\n')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation between methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading distilbert ...\n",
      "Loading sst2 ...\n",
      "Reusing dataset glue (/home/usuaris/veu/javier.ferrando/.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad)\n"
     ]
    }
   ],
   "source": [
    "!python ./correlations.py -model distilbert -dataset sst2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing isotropy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading distilbert ...\n",
      "Loading sst2 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Reusing dataset glue (/home/usuaris/veu/javier.ferrando/.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad)\n"
     ]
    }
   ],
   "source": [
    "model_name = 'distilbert'\n",
    "dataset_name = 'sst2'\n",
    "get_cos_mean(model_name,dataset_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from matplotlib.lines import Line2D\n",
    "\n",
    "plt.rcParams.update({'font.size': 16})\n",
    "\n",
    "def visualize_transformed_space(model_names):\n",
    "\t\"\"\"Plot the baseline charts in the paper. Images are written to the img/ subfolder.\"\"\"\n",
    "\tplt.figure(figsize=(12,4),dpi=200)\n",
    "\tcolor = ['#82B366','#6C8EBF','#D79B00']\n",
    "\n",
    "\tfor i, (model, num_layers) in enumerate([('distilbert', 6), ('bert', 12), ('roberta', 12)]):\n",
    "\t\tx = np.array(range(num_layers))\n",
    "\t\tdata = json.load(open(f'cos_results/{model.lower()}_sst2_cos_results.json'))\n",
    "\t\tplt.plot(x, [ float(data[\"mean cosine similarity transformed vectors\"][f'layer_{i}']) for i in x ], color[i], markersize=6, label=model_names[model], linewidth=2, linestyle='--',alpha = 1, marker='o')\n",
    "\n",
    "\tfor i, spine in enumerate(plt.gca().spines.values()):\n",
    "\t\tif (i == 1) or (i==3):\n",
    "\t\t\tspine.set_visible(False)\n",
    "\n",
    "\tplt.legend(loc='upper left')\n",
    "\tplt.xlabel('Layer')\n",
    "\tplt.xticks(x)\n",
    "\tplt.ylim(0,1.0)\n",
    "\tplt.savefig(f'img/sst2_mean_cosine_similarity_transformed.png', bbox_inches='tight')\n",
    "\tplt.show()\n",
    "\tplt.close()\n",
    "\n",
    "def visualize_embedding_space(model_names):\n",
    "\t\"\"\"Plot the baseline charts in the paper. Images are written to the img/ subfolder.\"\"\"\n",
    "    \n",
    "\n",
    "\tplt.figure(figsize=(12,4),dpi=200)\n",
    "\t#icons = [ 'ro:', 'bo:', 'go:']\n",
    "\tcolor = ['#82B366','#6C8EBF','#D79B00']\n",
    "\n",
    "    \n",
    "\n",
    "\tfor i, (model, num_layers) in enumerate([('distilbert', 7), ('bert', 13), ('roberta', 13)]):\n",
    "        \n",
    "\t\tx = np.array(range(num_layers))\n",
    "\t\tdata = json.load(open(f'cos_results/{model.lower()}_sst2_cos_results.json'))\n",
    "\t\tplt.plot(x, [ float(data[\"mean cosine similarity embeddings\"][f'layer_{i}']) for i in x ], color[i], markersize=6, label=model_names[model], linewidth=2, alpha=1,linestyle = '-',marker = 'o')\n",
    "\n",
    "\tfor i, spine in enumerate(plt.gca().spines.values()):\n",
    "\t\tif (i == 1) or (i==3):\n",
    "\t\t\tspine.set_visible(False)\n",
    "\n",
    "\t#plt.grid(False, linewidth=0.25)\n",
    "\tplt.legend(loc='upper left')\n",
    "\tplt.xlabel('Layer')\n",
    "\tplt.xticks(x)\n",
    "\tplt.ylim(0,1.0)\n",
    "\tplt.savefig(f'img/sst2_mean_cosine_similarity_embeddings.png', bbox_inches='tight')\n",
    "\tplt.show()\n",
    "\tplt.close()\n",
    "\n",
    "model_names = {'distilbert' : 'DistilBERT', 'bert': 'BERT', 'roberta': 'RoBERTa'}\n",
    "\n",
    "def visualize_joint_space(model_names):\n",
    "\t\"\"\"Plot the baseline charts in the paper. Images are written to the img/ subfolder.\"\"\"\n",
    "\tplt.figure(figsize=(10,4),dpi=200)\n",
    "\tcolor = ['#82B366','#6C8EBF','#D79B00']\n",
    "\tlegend_elements = [Line2D([0], [0], color=color[0], lw=2, label=model_names['distilbert']),\n",
    "                   Line2D([0], [0], color=color[1], lw=2, label=model_names['bert']),\n",
    "                   Line2D([0], [0], color=color[2], lw=2, label=model_names['roberta'])]\n",
    "\n",
    "\n",
    "\tfor i, (model, num_layers) in enumerate([('distilbert', 7), ('bert', 13), ('roberta', 13)]):\n",
    "\t\tx = np.array(range(num_layers))\n",
    "\t\tx_transf = np.array(range(num_layers-1))\n",
    "\t\tdata = json.load(open(f'cos_results/{model.lower()}_sst2_cos_results.json'))\n",
    "\t\tplt.plot(x_transf, [ float(data[\"mean cosine similarity transformed vectors\"][f'layer_{i}']) for i in x_transf ], color[i], markersize=6, label=model_names[model] + ' (T)', linewidth=2, linestyle='--',alpha = 1, marker='o')\n",
    "\t\tplt.plot(x, [ float(data[\"mean cosine similarity embeddings\"][f'layer_{i}']) for i in x ], color[i], markersize=6, label=model_names[model], linewidth=2.5, alpha=0.65, linestyle='-', marker='v')\n",
    "\n",
    "\tfor i, spine in enumerate(plt.gca().spines.values()):\n",
    "\t\tif (i == 1) or (i==3):\n",
    "\t\t\tspine.set_visible(False)\n",
    "\n",
    "\tplt.grid(False, linewidth=0.25)\n",
    "\tplt.legend(loc='best',prop={'size': 14})\n",
    "\tplt.xlabel('Layer')\n",
    "\tplt.xticks(x)\n",
    "\tplt.ylim(0,1.0)\n",
    "\tplt.savefig(f'img/sst2_mean_cosine_similarity_transformed_joint.png', bbox_inches='tight')#transparent=True\n",
    "\tplt.show()\n",
    "\tplt.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualize_transformed_space(model_names)\n",
    "#visualize_embedding_space(model_names)\n",
    "visualize_joint_space(model_names)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot attribution to special tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.figure(figsize=(16,4),dpi=200)#\n",
    "plt.rcParams.update({'font.size': 22})\n",
    "model_names = {'distilbert' : 'DistilBERT', 'bert': 'BERT', 'roberta': 'RoBERTa'}\n",
    "dataset_name = 'sst2'\n",
    "labels = ['Attn Rollout', 'Norm Rollout', 'Gradl2', 'ALTI']\n",
    "color = ['#82B366','#6C8EBF','#D79B00']\n",
    "pos = [-0.3,-0.1,0.1,0.3]\n",
    "x = np.arange(len(labels))  # the label locations\n",
    "width = 0.2  # the width of the bars\n",
    "\n",
    "for i, model_ in enumerate(model_names):\n",
    "    values = []\n",
    "    data =  json.load(open(f'./data/{model_}_{dataset_name}_rank_special_tokens.json'))\n",
    "    values.append(data['rollout'][0])\n",
    "    values.append(data['rollout_norm'][0])\n",
    "    values.append(data['grad'][0])\n",
    "    values.append(data['our'][0])\n",
    "\n",
    "    plt.bar(x + pos[i], values, width,color=color[i] ,label=model_names[model_])\n",
    "\n",
    "\n",
    "#plt.title(\"Average attribution scores to special tokens\",fontsize='18')\n",
    "plt.xlabel('Method')\n",
    "plt.xticks(x-0.1,labels)\n",
    "plt.ylim(0,1.0)\n",
    "plt.legend(loc='upper right')\n",
    "for i, spine in enumerate(plt.gca().spines.values()):\n",
    "    if (i == 1) or (i==3):\n",
    "        spine.set_visible(False)\n",
    "plt.savefig(f'img/attributions_special_tokens.png', bbox_inches='tight')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  }
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