Finish classification explanations

A couple things I missed in 7f68dc6fc6

gptc/model.py

@@ -95,7 +95,10 @@ class Model:
                 else:
                     explanation[word] = {
                         "weight": weight,
-                        "probabilities": word_probs,
+                        "probabilities": {
+                            name: word_probs[index]
+                            for index, name in enumerate(self.names)
+                        },
                         "count": 1,
                     }