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Simplifying Outcomes of Language Model Component Analyses with ELIA

Eidt, Aaron Louis et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
While mechanistic interpretability has developed powerful tools to analyze the internal workings of Large Language Models (LLMs), their complexity has created an accessibility gap, limiting their use to specialists. We address this challenge by designing, building, and evaluating ELIA (Explainable L
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