Exploring Scaling Interpretability
Exploring Scaling Interpretability reveals several interesting facts.
- Eric is a PhD student in the Department of Physics at MIT working with Max Tegmark on improving our scientific/theoretical ...
- Eric Michaud returns to the stream to talk about his recent work on
- Part 1 of a walkthrough of our paper, Progress Measures for Grokking via Mechanistic
- It's called in
- A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...
In-Depth Information on Scaling Interpretability
Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ... Atticus Geiger from Pr(Ai)²R Group explores “State of Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Andrew Mack details a project focused on developing "ambitious mechanistic credibility tools" to improve AI
Interpretable
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