Bengio 团队发布 182 页机制可解释性综述
摘要
Yoshua Bengio 及其合作者刚刚发布了一份 182 页的机制可解释性综述宝典！ 《Understanding AI from the Inside》 这篇论文将带你从神经元与回路出发，了解可解释性如何助力 AI 安全 内容涵盖 SAEs、回路发现、引导、监控、训练过程中机制如何涌现等众多内容！ 阅读这篇由 Fazl Barez 和 Tung-Yu Wu 领衔的优秀论文：https://www.alphaxiv.org/abs/2611.08438
摘要由模型根据原文撰写，以原文为准。
正文 · 原文
Yoshua Bengio and collaborators just released a goldmine 182-page survey on mechanistic interpretability!
"Understanding AI from the Inside"
This paper will take you from neurons & circuits to how interpretability can help with AI safety
It covers SAEs, circuit discovery, steering, monitoring, how mechanisms emerge during training, and much more!
Read this excellent paper led by Fazl Barez and Tung-Yu Wu: https://www.alphaxiv.org/abs/2611.08438
来源：alphaXiv · x.com
引用原文
askalphaxiv. Yoshua Bengio and collaborators just released a goldmine 182-page survey on mechanistic interpretability![EB/OL]. (2026-11-10)[访问日期]. https://x.com/askalphaxiv/status/2119823579210776920.