Exploring Scaling Interpretability
Exploring Scaling Interpretability reveals several interesting facts.
- Andrew Mack details a project focused on developing "ambitious mechanistic credibility tools" to improve AI
- Eric is a PhD student in the Department of Physics at MIT working with Max Tegmark on improving our scientific/theoretical ...
- Neel Nanda is a researcher at Google DeepMind working on mechanistic
- At an Anthropic Research Salon event in San Francisco, four of our researchers—Alex Tamkin, Jan Leike, Amanda Askell and ...
- What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...
In-Depth Information on Scaling Interpretability
Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ... Eric Michaud returns to the stream to talk about his recent work on Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Atticus Geiger from Pr(Ai)²R Group explores “State of
It's called in
Stay tuned for more updates related to Scaling Interpretability.