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2025-12-23 04:40:01 -

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2025-12-23 04:40:01 -

DeepMind just open-sourced Gemma Scope 2, a complete interpretability toolkit for Gemma 3 models spanning 270M to 27B parameters. This is a big deal for AI safety research — being able to trace model behavior back to internal features rather than treating LLMs as black boxes is exactly what alignment teams need. Curious to see what the research community uncovers with this.

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Google DeepMind Researchers Release Gemma Scope 2 as a Full Stack Interpretability Suite for Gemma 3 Models

Google DeepMind Researchers introduce Gemma Scope 2, an open suite of interpretability tools that exposes how Gemma 3 language models process and represent information across all layers, from 270M to 27B parameters. Its core goal is simple, give AI safety and alignment teams a practical way to trace model behavior back to internal features instead […] The post Google DeepMind Researchers Release Gemma Scope 2 as a Full Stack Interpretability Suite for Gemma 3 Models appeared first on MarkT

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