most citedA Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

12 citations · 14 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025★ 1 cited

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models

Dong Shu, Xuansheng Wu, Haiyan Zhao +4

Large Language Models (LLMs) have transformed natural language processing, yet their internal mechanisms remain largely opaque. Recently, mechanistic interpretability has attracted…