https://transformer-circuits.pub/2023/monosemantic-features/index.html

https://jobs.lever.co/Anthropic/3dbd1272-d673-4494-999a-47528e7cd6a3

Anthropic - Research Engineer, InterpretabilityThe Interpretability team at Anthropic is working to reverse-engineer how models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. Few things can accelerate this progress more than great infrastructure. As a research engineer, you will build and maintain infrastructure used by the whole team, including yourself. You'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You’re motivated to understand our research so you can write code that accelerates it. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, and Toy Models of Superposition. This work builds on ideas from members' work prior to Anthropicjobs.lever.co

- 2025 AGI let’s go -