Papers with cross-attend representations of intermediate encoder activations

1 papers
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers (2024.findings-naacl)

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Challenge: Existing interpretability methods have been proposed to interpret the inner workings of Transformer models at different levels of precision and complexity.
Approach: They propose a method to analyze encoder-decoder Transformers by using the decoder module Model Output encoder to cross-attend representations of intermediate encoder activations instead of using the default output.
Outcome: The proposed method maps uninterpretable representations to human-interpreted sequences of words or symbols, shedding new light on the information flow in this popular but understudied class of models.

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