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Causal Interpretation of Self-Attention in Pre-Trained Transformers

NeurIPS 2023 · Architectures and efficiency › Attention and transformers · approach: Theory of self-attention dynamics · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CLEANN instead of Smart-Attention to find sentiment explanationsBERT fine-tuned for sentiment classification · IMDB, review length 20explanation set size: 3.62 -> 2.82Helped
Use CLEANN instead of Smart-Attention to find sentiment explanationsBERT fine-tuned for sentiment classification · IMDB, review length 30explanation set size: 4.63 -> 3.48Helped
Use CLEANN instead of Smart-Attention to find sentiment explanationsBERT fine-tuned for sentiment classification · IMDB, review length 40explanation set size: 6.03 -> 3.58Helped
Use CLEANN instead of Smart-Attention to find sentiment explanationsBERT fine-tuned for sentiment classification · IMDB, review length 60explanation set size: 6.41 -> 3.53Helped
Use CLEANN instead of Pure-Attention to find sentiment explanationsBERT fine-tuned for sentiment classification · IMDB, review lengths 20, 30, 40, and 60explanation set size: 5.52 -> 2.82; 8.88 -> 3.48; 12.71 -> 3.58; 13.14 -> 3.53Helped
Use CLEANN instead of the attention-based baselines to explain recommendationsBERT4Rec · MovieLens 1M recommendation sessionsexplanation set sizeHelped
Use CLEANN instead of the attention-based baselines to select replacement recommendationsBERT4Rec · MovieLens 1M recommendation sessions, original top-5 listreplacement recommendation rankHelped

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