Fix attention_outputs attribute access issue

🔧 **Fix Attribute Access Issue**:

1. **Fixed attention_outputs Access**:
   - The extract_attention_outputs() method returns attention_outputs
   - But the return value wasn't being captured
   - Now properly capturing the returned attention_outputs

2. **Proper Method Flow**:
   - extract_attention_outputs() returns attention_outputs
   - _create_concept_maps_from_attention() accesses self.attention_outputs
   - This should resolve the 'ConceptAttentionProcessor' object has no attribute 'attention_outputs' error

This should fix the attribute access issue and allow
attention outputs to be properly captured and processed.

concept_attention.py

@@ -402,7 +402,7 @@ class ConceptAttentionProcessor:
             logger.info(f"Extracted embeddings for concepts: {list(concept_embeddings.keys())}")
             
             # Register attention hooks
-            self.concept_attention.extract_attention_outputs()
+            attention_outputs = self.concept_attention.extract_attention_outputs()
             
             # Run model forward pass to capture attention
             with torch.no_grad():