Abstract We introduce Natural Language Autoencoders (NLAs), an unsupervised method for generating natural language explanations of LLM activations. An NLA consists of two LLM modules: an activation verbalizer (AV) that maps an activation to a text description and an activation reconstructor (AR) tha
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Subhash Kantamneni
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AI Alignment Forum
https://www.alignmentforum.org/posts/oeYesesaxjzMAktCM/natural-language-autoencoders-produce-unsupervisedDeep Analysis
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