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cs.LG2025
Automated Feature Labeling with Token-Space Gradient Descent
Julian Schulz, Seamus Fallows
We present a novel approach to feature labeling using gradient descent in token-space. While existing methods typically use language models to generate hypotheses about feature mea…
cs.LG2023
Comparing Optimization Targets for Contrast-Consistent Search
Hugo Fry, Seamus Fallows, Ian Fan +2
We investigate the optimization target of Contrast-Consistent Search (CCS), which aims to recover the internal representations of truth of a large language model. We present a new…