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 @FazlBarez 和 @TonyWu1105 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 @FazlBarez and @TonyWu1105: 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/2119836067591573781.