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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)Constitutional AI: Harmlessness from AI Feedback., , , , , , , , , and 41 other author(s). CoRR, (2022)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). CoRR, (2022)Toy Models of Superposition., , , , , , , , , and 6 other author(s). CoRR, (2022)Measuring Faithfulness in Chain-of-Thought Reasoning., , , , , , , , , and 20 other author(s). CoRR, (2023)Language Models (Mostly) Know What They Know, , , , , , , , , and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.Measuring Progress on Scalable Oversight for Large Language Models., , , , , , , , , and 36 other author(s). CoRR, (2022)Scaling Laws and Interpretability of Learning from Repeated Data., , , , , , , , , and 8 other author(s). CoRR, (2022)The Capacity for Moral Self-Correction in Large Language Models., , , , , , , , , and 39 other author(s). CoRR, (2023)Language Models (Mostly) Know What They Know., , , , , , , , , and 26 other author(s). CoRR, (2022)