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Michael I. Ivanitskiy

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#artificial intelligence Preprint Oct 2026

Interpreting Language Model Parameters

Mechanistic interpretability aims to uncover how neural networks use their parameters to implement their impressive neural algorithms. Although previous work has uncovered substantial structure in the intermediate representations that networks use, little progress has been made to understand how the parameters and nonl...

Lucius Bushnaq, Dan Braun, Oliver Clive-Griffin et al. · 4 citations · ⚡1
#machine learning Preprint Aug 2026

Towards a mathematical theory of superposition

A mathematical theory of superposition in neural networks using tools from frame theory and compressed sensing and a novel characterization of the distribution of signs in the Gram matrix is developed.

Michael I. Ivanitskiy, J. Jasper, Emily J. King et al. · 1 citation

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