diff --git a/textattack/loggers/csv_logger.py b/textattack/loggers/csv_logger.py
index d248b063..68b8d3a3 100644
--- a/textattack/loggers/csv_logger.py
+++ b/textattack/loggers/csv_logger.py
@@ -46,7 +46,8 @@ def flush(self):
         self._flushed = True
 
     def close(self):
-        self.fout.close()
+        # self.fout.close()
+        super().close()
 
     def __del__(self):
         if not self._flushed:
diff --git a/textattack/models/helpers/word_cnn_for_classification.py b/textattack/models/helpers/word_cnn_for_classification.py
index e2d1e2b3..a3c8bd9a 100644
--- a/textattack/models/helpers/word_cnn_for_classification.py
+++ b/textattack/models/helpers/word_cnn_for_classification.py
@@ -84,7 +84,7 @@ def save_pretrained(self, output_path):
 
     @classmethod
     def from_pretrained(cls, name_or_path):
-        """Load trained LSTM model by name or from path.
+        """Load trained Word CNN model by name or from path.
 
         Args:
             name_or_path (:obj:`str`): Name of the model (e.g. "cnn-imdb") or model saved via :meth:`save_pretrained`.
diff --git a/textattack/shared/attacked_text.py b/textattack/shared/attacked_text.py
index b8c0687e..200384aa 100644
--- a/textattack/shared/attacked_text.py
+++ b/textattack/shared/attacked_text.py
@@ -80,6 +80,8 @@ def __eq__(self, other):
         """
         if not (self.text == other.text):
             return False
+        if len(self.attack_attrs) != len(other.attack_attrs):
+            return False
         for key in self.attack_attrs:
             if key not in other.attack_attrs:
                 return False
@@ -193,7 +195,10 @@ def _text_index_of_word_index(self, i):
         # Find all words until `i` in string.
         look_after_index = 0
         for word in pre_words:
-            look_after_index = lower_text.find(word.lower(), look_after_index)
+            look_after_index = lower_text.find(word.lower(), look_after_index) + len(
+                word
+            )
+        look_after_index -= len(self.words[i])
         return look_after_index
 
     def text_until_word_index(self, i):
@@ -217,7 +222,7 @@ def first_word_diff(self, other_attacked_text):
         w2 = other_attacked_text.words
         for i in range(min(len(w1), len(w2))):
             if w1[i] != w2[i]:
-                return w1
+                return w1[i]
         return None
 
     def first_word_diff_index(self, other_attacked_text):