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Capsule Lens: Locating and Tracking Concept Geometry in Model Representations

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05575v1 Announce Type: new Abstract: Understanding how concepts are encoded in the internal representations of machine learning models is a central problem in mechanistic interpretability, essential both for the science of deep learning and for the trustworthy deployment of increasingly…

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  1. 2026-09-09 04:00 · arXiv cs.LG
    Capsule Lens: Locating and Tracking Concept Geometry in Model Representations

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