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News/Selecting The Most Informative Tokens in Natural Language Autoencoders
arxiv
PublishedSeptember 30, 2026 at 4:00 AM

Selecting The Most Informative Tokens in Natural Language Autoencoders

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arXiv:2609.37040v1 Announce Type: cross Abstract: Natural language autoencoders translate a language model's internal activations into readable explanations. Explaining every token position is costly. Which positions should an auditor inspect to understand a potential threat? We study this question

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