Authors: Reilly Haskins*, Bilal Chughtai**, Joshua Engels** * primary contributor ** advice and mentorship This is the updated version of our earlier preliminary results post, covering the final results from our paper. The paper extends our preliminary work to eight models, a harder agentic task, CoT controllability analysis, and RL...
Authors: Reilly Haskins*, Bilal Chughtai**, Joshua Engels** * primary contributor ** advice and mentorship Summary [Note: This is a research update sharing preliminary results as part of ongoing work] Will future models obfuscate their CoT when they learn during pretraining that their CoT is being monitored? We investigate this question...
New research from the GDM mechanistic interpretability team. Read the full paper on arxiv or check out the twitter thread. > Abstract > Building reliable deception detectors for AI systems—methods that could predict when an AI system is being strategically deceptive without necessarily requiring behavioural evidence—would be valuable in mitigating...
Executive Summary * Over the past year, the Google DeepMind mechanistic interpretability team has pivoted to a pragmatic approach to interpretability, as detailed in our accompanying post [1] , and are excited for more in the field to embrace pragmatism! In brief, we think that: * It is crucial to...
Executive Summary * The Google DeepMind mechanistic interpretability team has made a strategic pivot over the past year, from ambitious reverse-engineering to a focus on pragmatic interpretability: * Trying to directly solve problems on the critical path to AGI going well [[1]] * Carefully choosing problems according to our comparative...
My to-do system is by far the most important system I have for keeping my life on track. It acts as a second brain, remembering things for me so I don't have to.[1] Without it, I would be completely lost,[2] and nowhere near as organized or conscientious. To-do systems done...
Can you tell when an LLM is lying from the activations? Are simple methods good enough? We recently published a paper investigating if linear probes detect when Llama is deceptive. Abstract: > AI models might use deceptive strategies as part of scheming or misaligned behaviour. Monitoring outputs alone is insufficient,...