If you liked Anthropic's recent emotions paper, check out our work! We find many similarities: 1) Circular geometry of emotion representations 2) Steering: unlike Anthropic, we steer along circular manifold (at 0°, 30°, 60°...) 3) Steering emotions can affect refusal/sycophancy See Lihao's thread!👇

We are thrilled to host the next Mech Interp Workshop @ ICML 2026! 🎉 July 2026, Seoul 🇰🇷 The workshop aims to understand the inner workings of neural nets. Topics: Feature geometry Circuit analyses Interp for {practical applications, safety, scientific discovery}, and many more.

Question @neuripsconf.bsky.social - a coauthor had his reviews re-assigned many weeks ago. The ACs of those papers told him "i've been told to tell u: leave a short note. You won't be penalized". Now I'm being warned of desk-reject due to his short/poor reviews. What's the right protocol here?

How do language models track mental states of each character in a story, often referred to as Theory of Mind? We reverse-engineered how LLaMA-3-70B-Instruct handles a belief-tracking task and found something surprising: it uses mechanisms strikingly similar to pointer variables in C programming!

🚨New #ACL2025 paper! Today’s “safe” language models can look unbiased—but alignment can actually make them more biased implicitly by reducing their sensitivity to race-related associations. 🧵Find out more below!

🚨New preprint! How do reasoning models verify their own CoT? We reverse-engineer LMs and find critical components and subspaces needed for self-verification! 1/n

🚨New Preprint! Did you know that steering vectors from one LM can be transferred and re-used in another LM? We argue this is because token embeddings across LMs share many “global” and “local” geometric similarities!

Today we launch a new open research community It is called ARBOR: arborproject.github.io/ please join us. bsky.app/profile/ajy...

Excited about recent reasoning models? What is happening under the hood? Join ARBOR: Analysis of Reasoning Behaviors thru *Open Research* - a radically open collaboration to reverse-engineer reasoning models! Learn more: arborproject.github.io 1/N

New paper <3 Interested in inference-time scaling? In-context Learning? Mech Interp? LMs can solve novel in-context tasks, with sufficient examples (longer contexts). Why? Bc they dynamically form *in-context representations*! 1/N