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View in-depth performance of a single language model on a single test suite.

Region-by-region surprisal
Sample item for Subject-Verb Number Agreement (with subject relative clause)
Item
Condition
intro np_subject that embed_vp the embed_np matrix_v continuation
Item Condition intro np_subject that embed_vp the embed_np matrix_v continuation
1 match_sing The author that hurt the senators is good
1 mismatch_sing The author that hurt the senators are good
1 match_plural The authors that hurt the senator are good
1 mismatch_plural The authors that hurt the senator is good
Prediction performance for TinyLSTM on Subject-Verb Number Agreement (with subject relative clause)
Accuracy
Formula
Description
AccuracyPredictionDescription
0.00% (602,match_sing/7,matrix_v) < (604,mismatch_sing/7,matrix_v) No description provided.
36.84% (603,match_plural/7,matrix_v) < (601,mismatch_plural/7,matrix_v) No description provided.