diff --git a/src/lm_saes/config.py b/src/lm_saes/config.py
index 75b50c3..82e6769 100644
--- a/src/lm_saes/config.py
+++ b/src/lm_saes/config.py
@@ -324,7 +324,7 @@ class LanguageModelSAETrainingConfig(LanguageModelSAERunnerConfig):
     lr_warm_up_steps: int | float = 0.1
     lr_cool_down_steps: int | float = 0.1
     train_batch_size: int = 4096
-    clip_grad_norm: float = 0.0
+    clip_grad_value: float = 0.0
     remove_gradient_parallel_to_decoder_directions: bool = False
 
     finetuning: bool = False
diff --git a/src/lm_saes/sae.py b/src/lm_saes/sae.py
index df7f8a7..d238422 100644
--- a/src/lm_saes/sae.py
+++ b/src/lm_saes/sae.py
@@ -515,7 +515,7 @@ def transform_to_unit_decoder_norm(self):
 
         decoder_norm = self.decoder_norm()  # (d_sae,)
         self.encoder.weight.data = self.encoder.weight.data * decoder_norm[:, None]
-        self.decoder.weight.data = self.decoder.weight.data.T / decoder_norm
+        self.decoder.weight.data = self.decoder.weight.data / decoder_norm
 
         self.encoder.bias.data = self.encoder.bias.data * decoder_norm
 
diff --git a/src/lm_saes/sae_training.py b/src/lm_saes/sae_training.py
index b55746d..dc583ac 100644
--- a/src/lm_saes/sae_training.py
+++ b/src/lm_saes/sae_training.py
@@ -145,8 +145,8 @@ def train_sae(
         if cfg.finetuning:
             loss = loss_data["l_rec"].mean()
         loss.backward()
-        if cfg.clip_grad_norm > 0:
-            torch.nn.utils.clip_grad_norm_(sae.parameters(), cfg.clip_grad_norm)
+        if cfg.clip_grad_value > 0:
+            torch.nn.utils.clip_grad_value_(sae.parameters(), cfg.clip_grad_value)
         if cfg.remove_gradient_parallel_to_decoder_directions:
             sae.remove_gradient_parallel_to_decoder_directions()
         optimizer.step()