The paper proposes the Attribution Contract as a framework to resolve conceptual ambiguities in applying feature attribution to autoregressive and diffusion language models by explicitly specifying what is being explained.
Inseq: An Interpretability Toolkit for Sequence Generation Models
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The Attribution Contract: Feature Attribution for Generative Language Models
The paper proposes the Attribution Contract as a framework to resolve conceptual ambiguities in applying feature attribution to autoregressive and diffusion language models by explicitly specifying what is being explained.