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This is the fifth in a series of informal research updates from the Google DeepMind Language Model Interpretability team, in interpretability and adjacent areas. The fourth post can be found here. TLDR: Via adapting the methods of Marks et al and Li et al, we train Gemini 3 Flash to...
This is the third in a series of informal research updates from the Google DeepMind Language Model Interpretability team, in interpretability and adjacent areas. The second post can be found here. In this short post, we describe a surprising finding: most safety relevant properties in Gemini seem to be caused...
Writing up a probably-obvious point that I want to refer to later, with significant writing LLM writing help. TL;DR: 1) A common critique of AI safety evaluations is that they occur in unrealistic settings, such as excessive goal conflict, or are obviously an evaluation rather than “real deployment”.[1] I argue...
Authors: Riya Tyagi, Daria Ivanova, Arthur Conmy, Neel Nanda Riya and Daria are co-first authors. This work was largely done during a research sprint for Neel Nanda’s MATS 9.0 training phase. 🖥️ Deployment code ⚙️ Interactive demo 🐦 Tweet thread TL;DR * We believe that more research effort should go...
TLDR * The Google DeepMind mech interp team is releasing Gemma Scope 2: a suite of SAEs & transcoders trained on the Gemma 3 model family * Neuronpedia demo here, access the weights on HuggingFace here, try out the Colab notebook tutorial here [1] * Key features of this relative...
Authors: Bartosz Cywinski*, Bart Bussmann*, Arthur Conmy**, Joshua Engels**, Neel Nanda**, Senthooran Rajamanoharan** * primary contributors ** advice and mentorship TL;DR We study a simple latent reasoning LLM on math tasks using standard mechanistic interpretability techniques to see whether the latent reasoning process (i.e., vector-based chain of thought) is interpretable....
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...