Update app.py

app.py

@@ -139,7 +139,7 @@ def run_interpretation(raw_original_prompt, raw_interpretation_prompt, max_new_t
 
     # try identifying important layers
     vectors_to_compare = interpreted_vectors # torch.tensor(global_state.sentence_transformer.encode(generation_texts))
-    diff_score1 = F.normalize(vectors_to_compare, dim=-1).diff(dim=0).norm(dim=-1)
+    diff_score1 = F.normalize(vectors_to_compare, dim=-1).diff(dim=0).norm(dim=-1).cpu()
     
     bags_of_words = [set(tokenizer.tokenize(text)) for text in generation_texts]
     diff_score2 = torch.tensor([