A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

Mechanistic interpretability (MI) is an emerging sub-field of interpretability that seeks to understand a neural network model by reverse-engineering its internal computations. Recently, MI has garnered significant attention for interpreting transformer-based language models (LMs), resulting in many...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Rai, Daking, Zhou, Yilun, Shi, Feng, Saparov, Abulhair, Yao, Ziyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Neural networks Transformers
Online-Zugang:	Volltext
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