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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks., , , , , , , and . NeurIPS, (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)Towards Measuring the Representation of Subjective Global Opinions in Language Models., , , , , , , , , and 8 other author(s). CoRR, (2023)A Fill Estimation Algorithm for Sparse Matrices and Tensors in Blocked Formats., , and . IPDPS, page 546-556. IEEE Computer Society, (2018)FoundationDB Record Layer: A Multi-Tenant Structured Datastore., , , , , , , , , and 3 other author(s). SIGMOD Conference, page 1787-1802. ACM, (2019)Specific versus General Principles for Constitutional AI., , , , , , , , , and 26 other author(s). CoRR, (2023)Towards Understanding Sycophancy in Language Models., , , , , , , , , and 9 other author(s). CoRR, (2023)