diff --git a/keras_nlp/layers/token_and_position_embedding.py b/keras_nlp/layers/token_and_position_embedding.py
index df46b3622b..d002d8745f 100644
--- a/keras_nlp/layers/token_and_position_embedding.py
+++ b/keras_nlp/layers/token_and_position_embedding.py
@@ -23,9 +23,12 @@
 @keras.utils.register_keras_serializable(package="keras_nlp")
 class TokenAndPositionEmbedding(keras.layers.Layer):
     """A layer which sums a token and position embedding.
-
-    This layer assumes that the last dimension in the input corresponds
-    to the sequence dimension.
+    
+    Token and position embeddings are ways of representing words and their order
+    in a sentence. This layer creates a `keras.layers.Embedding` token embedding
+    and a `keras_nlp.layers.PositionEmbedding` position embedding and sums their
+    output when called. This layer assumes that the last dimension in the input
+    corresponds to the sequence dimension.
 
     Args:
         vocabulary_size: The size of the vocabulary.