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Druid: a real-time analytical data store., , , , , and . SIGMOD Conference, page 157-168. ACM, (2014)In-context Learning and Induction Heads., , , , , , , , , and 16 other author(s). CoRR, (2022)Opportunities and Risks of LLMs for Scalable Deliberation with Polis., , , , , , , , and . CoRR, (2023)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). ACL (Findings), page 13387-13434. Association for Computational Linguistics, (2023)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Druid A Real-time Analytical Data Store, , , , , and . Spektrum der Wissenschaft,   (6): 64-71 (2013)mit Lit.-Hinweis.Predictability and Surprise in Large Generative Models., , , , , , , , , and 20 other author(s). CoRR, (2022)Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training., , , , , , , , , and 29 other author(s). CoRR, (2024)Implicit encoding of prior probabilities in optimal neural populations., and . NIPS, page 658-666. Curran Associates, Inc., (2010)Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)