English

How to use and interpret activation patching

Machine Learning 2024-04-24 v1

Abstract

Activation patching is a popular mechanistic interpretability technique, but has many subtleties regarding how it is applied and how one may interpret the results. We provide a summary of advice and best practices, based on our experience using this technique in practice. We include an overview of the different ways to apply activation patching and a discussion on how to interpret the results. We focus on what evidence patching experiments provide about circuits, and on the choice of metric and associated pitfalls.

Cite

@article{arxiv.2404.15255,
  title  = {How to use and interpret activation patching},
  author = {Stefan Heimersheim and Neel Nanda},
  journal= {arXiv preprint arXiv:2404.15255},
  year   = {2024}
}

Comments

A tutorial on activation patching. 13 pages, 2 figures

R2 v1 2026-06-28T16:04:05.899Z