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Abstractive Red-Teaming of Language Model Character
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Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset
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The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
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Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
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Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
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The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
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Unsupervised decoding of encoded reasoning using language model interpretability
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Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
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Signs of introspection in large language models
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Evaluating honesty and lie detection techniques on a diverse suite of dishonest models
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Poisoning Attacks on LLMs Require a Near-constant Number of Poison SamplesAnthropic / Alan Turing Institute, Oxford Applied and Theoretical Machine Learning, Swiss Federal Institute of Technology in Zurich, UK AI Security Institute, University of Oxford
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SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Age
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On the Biology of a Large Language Model
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Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
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Alignment faking in large language models
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Best-of-N Jailbreaking
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Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
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Claude 3.5 Sonnet Model Card Addendum
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Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
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The Claude 3 Model Family: Opus, Sonnet, and Haiku
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
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Constitutional AI: Harmlessness from AI Feedback
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Toy Models of Superposition
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Softmax Linear Units
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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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A Mathematical Framework for Transformer Circuits
