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2024 ICML ICML 2024

The Linear Representation Hypothesis and the Geometry of Large Language Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Kiho Park, Yo Joong Choe, Victor Veitch

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Representation Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

inner product steering vector representation space linear representation hypothesis counterfactuals probe
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