Papers by David Chanin

1 papers
Identifying Linear Relational Concepts in Large Language Models (2024.naacl-long)

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Challenge: a technique for finding concept directions for human-interpretable concepts is needed to find their direction in the latent space . a linear relational concept (LRC) can be used to locate concepts in hidden activations .
Approach: They propose a method for finding human-interpretable concepts by inverting a linear relational embedding and using earlier object layers.
Outcome: The proposed method outperforms standard probing classifiers on performance as concept classifier and ability to causally change model output.

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