Atticus Geiger
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Bio
Updated 05/18/26 · By grantmaking.aiResearcher who aims to explain artificial neural networks by uncovering interpretable symbolic algorithms they implement, using formal models of causality and a theory of causal abstraction to understand the relationship between neural networks and high-level algorithms, with work intended to make models more reliable, safe, and trustworthy.
Links
Updated 05/18/26 · By grantmaking.ai- Personal Website
- https://atticusg.github.io/
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- Twitter / X
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- LessWrong
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- EA Forum
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Organizations
Practical AI Alignment and Interpretability Research Group
principal investigator
Previously
Practical AI Alignment and Interpretability Research Group
principal researcher
Grants
Updated 05/18/26 · By grantmaking.aiNo grants recorded.