American AI researcher at Anthropic — who works on mechanistic interpretability — known for research on superposition in neural networks and toy model analysis of how transformers store information.
Advances the mechanistic interpretability understanding of how neural networks store multiple features in single neurons through superposition — Bricken's toy model experiments provided clearer evidence for the superposition hypothesis than previous work.
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