Josh Batson - Interpretability: From Art Towards Science - IPAM at UCLA
Recorded 31 August 2026. Josh Batson of Anthropic presents "Interpretability: From Art Towards Science" at IPAM's Foundations of Interpretability Workshop.Abstract: If deep neural networks at initialization are like physical systems -- model-able in terms of field theory and random matrices -- then trained neural networks are like biological systems -- full of idiosyncrasy reflecting the world they evolved in, path dependent accidents of evolution, and robust structures enabling complex, general behavior. Our team at Anthropic has found a plenitude of these "biological" or even "psychological" style phenomena, and mapped some of them to specific vectors, subspaces, and matrices. But today, we lack a strong theory of what about the data+model+optimization gives rise to these structures. I will present a number of phenomena along with concrete open problems amenable to mathematical and toy-model analysis, suggesting a path from artisanal analysis of model mechanism towards a science of emergence.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/foundations-of-interpretability/?tab=overview Receive SMS online on sms24.me
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