Lucius Bushnaq

Lucius Bushnaq is a Research Scientist at Goodfire.

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He works on parameter decomposition methods for interpretability, such as Attribution-based Parameter Decomposition, Stochastic Parameter Decomposition, and adVersarial Parameter Decomposition. Alongside this, he works on learning theory and the theory behind interpretability, for example theoretical frameworks for computation in superposition and connections between singular learning theory and algorithmic information theory.

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Previously, Lucius was a member of the interpretability team at Apollo Research, where he worked on the Local Interaction Basis and degeneracy in the loss landscape. He holds a PhD in physics.