New Approach to LLM Mechanistic Interpretability: Decomposing Weight Matrices into Sparse Circuits
CatAstro_Piyush · x · 2026-08-08
Proposes a super efficient approach for mechanistic interpretability. Instead of training a separate sparse representation, it decomposes weight matrices from a pretrained LLM into sparse circuit units directly.
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