diff --git a/src/models.py b/src/models.py
index 53e1829..14b66e9 100644
--- a/src/models.py
+++ b/src/models.py
@@ -292,7 +292,7 @@ def forward(self, data_objects):
             Dictionary containing "output" and "contributions".
         """
         # For each data object
-        pools = []
+        embeddings = []
         for i, data in enumerate(data_objects):
             # Apply initial transform
             conv_data = self.init_transform[i](data.x)
@@ -310,11 +310,11 @@ def forward(self, data_objects):
 
             # Apply pooling layer
             pooled_data = self.pool_layers[i](x=conv_data, index=data.batch)
-            pools.append(pooled_data)
+            embeddings.append(pooled_data)
 
         # Apply pool-to-hidden transform
-        pools = torch.cat(pools, dim=1)
-        hidden_data = self.pool_transform(pools)
+        embedding = torch.cat(embeddings, dim=1)
+        hidden_data = self.pool_transform(embedding)
 
         # Apply hidden layers
         output = self.hidden_layers(hidden_data)