A pipeline that combines contextual embeddings with two LMs' per-word probabilities and sparse autoencoders to automatically find interpretable slices where one model outperforms another.
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BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
A pipeline that combines contextual embeddings with two LMs' per-word probabilities and sparse autoencoders to automatically find interpretable slices where one model outperforms another.