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Goodfire
Mechanistic interpretability research lab building tools to reverse-engineer neural network internals. Uses sparse autoencoders (SAEs) for feature discovery and activation steering to expose model representations. Products include Ember (feature-level API for LLM intervention) and Silico (model design environment for debugging and steering behavior during training). Applied to LLMs and scientific foundation models.
Subtopics
ALIGNMENTRLHFFINE TUNING
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