Self Attention Weights

method ID: selfattentionweights

Related Papers

Quantifying Context Mixing in Transformers

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractSelf-attention weights and their transformed variants have been the main source of information for analyzing token-to-token interactions in Transformer-based models. But despite their ease of interpretation, these weights are not …...

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