AI safety takes

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September/October 2023 safety news: Sparse autoencoders, A is B is not B is A, Image hijacks
Better version of the Twitter thread. Thanks to Fabian Schimpf and Charbel-Raphaël Segerie for feedback. Towards Monosemanticity: Decomposing Language…
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Daniel Paleka
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August 2023 safety news: Universal attacks, Influence functions, Problems with RLHF
Better version of the monthly Twitter thread. This post marks a one-year anniversary since I decided to make use of my paper-reading habit, and started…
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Daniel Paleka
Evaluating superhuman models with consistency checks
Trying to extend the evaluation frontier
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Daniel Paleka
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June/July 2023 safety news: Jailbreaks, Transformer Programs, Superalignment
Better version of the monthly Twitter thread. Will be back to the regular release frequency next month. Thanks to Charbel-Raphaël Segerie for the…
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Daniel Paleka
May 2023 safety news: Emergence, Activation engineering, GPT-4 explains GPT-2 neurons
Better version of the monthly Twitter thread. The last weeks have had unusually many cool papers and posts, not all of which I had time to check out…
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Daniel Paleka
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April 2023 safety news: Supervising AIs improving AIs, LLM memorization, OpinionQA
Better version of the monthly Twitter thread. Emergent and Predictable Memorization in Large Language Models Memorization in LLMs is a practical issue…
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Daniel Paleka
March 2023 safety news: Natural selection of AIs, Waluigis, Anthropic agenda
Better version of my Twitter newsletter. I’m not talking about any of the recent letters here. This is not an AI policy newsletter. For the record, I…
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Daniel Paleka
Language models rely on meaningful abstractions
Next-token prediction is AI-complete
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Daniel Paleka
AI safety takes
I read way too many papers.
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