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Risks from Learned Optimization in Advanced Machine Learning Systems., , , , and . CoRR, (2019)Algorithms for Causal Reasoning in Probability Trees, , , , , , and . (2020)cite arxiv:2010.12237Comment: 11 pages, 8 figures, 5 algorithms. A companion Colaboratory tutorial is available at https://github.com/deepmind/deepmind-research/causal-reasoning.Meta-trained agents implement Bayes-optimal agents., , , , , , and . NeurIPS, (2020)Algorithms for Causal Reasoning in Probability Trees., , , , , , and . CoRR, (2020)Neural networks are a priori biased towards Boolean functions with low entropy., , , , , and . CoRR, (2019)Tracr: Compiled Transformers as a Laboratory for Interpretability., , , , and . CoRR, (2023)The Hydra Effect: Emergent Self-repair in Language Model Computations., , , , and . CoRR, (2023)Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla., , , , , , and . CoRR, (2023)Challenges with unsupervised LLM knowledge discovery., , , , , and . CoRR, (2023)Alignment of Language Agents., , , , , and . CoRR, (2021)