[2407.04694] Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status

[2407.04694] Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Computation and Language arXiv:2407.04694 (cs) [Submitted on 5 Jul 2024] Title: Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs Authors: Rudolf Laine , Bilal Chughtai , Jan Betley , Kaivalya Hariharan , Jeremy Scheurer , Mikita Balesni , Marius Hobbhahn , Alexander Meinke , Owain Evans View a PDF of the paper titled Me, Myself, and A

related reading

• [2401.05566] Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Trainingarxiv.org
• [2604.16812] Introspection Adapters: Training LLMs to Report Their Learned Behaviorsarxiv.org
• Self-Adapting Language Modelsarxiv.org
• [2406.11717] Refusal in Language Models Is Mediated by a Single Directionarxiv.org
• [2406.02061] Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Modelsarxiv.org
• [2401.05654] Towards Conversational Diagnostic AIarxiv.org
• [2501.11120] Tell me about yourself: LLMs are aware of their learned behaviorsarxiv.org
• [2407.15549] Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMsarxiv.org
• [2309.01809] Are Emergent Abilities in Large Language Models just In-Context Learning?arxiv.org
• [2410.02683] DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Lifearxiv.org
• Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Textarxiv.org
• 2405.01470arxiv.org