Learning Retrieval Models with Sparse Autoencoders
arXiv:2603.13277v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) provide a powerful mechanism for decomposing the dense representations produced by Large Language Models (LLMs) into interpretable …
Thibault Formal, Maxime Louis, Herv\'e Dejean, St\'ephane Clinchant
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