
Goodfire AI
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Principal Investigator
Links
Focus
Technical AI Governance, Interpretability
Stream
Lee Sharkey
Lee Sharkey is a Principal Investigator at [Goodfire](https://www.goodfire.ai/).
His team has focused on improved interpretability methods, including parameter decomposition methods such as [Attribution-based Parameter Decomposition](https://arxiv.org/abs/2501.14926) and [Stochastic Parameter Decomposition](https://arxiv.org/abs/2506.20790) and [adVersarial Parameter Decomposition](https://www.goodfire.ai/research/interpreting-lm-parameters#).
Previously, Lee was Chief Strategy Officer and cofounder of [Apollo Research](https://www.apolloresearch.ai/), and a Research Engineer at Conjecture, where he worked on [sparse autoencoders as a solution to representational superposition](https://www.alignmentforum.org/posts/z6QQJbtpkEAX3Aojj/interim-research-report-taking-features-out-of-superposition).