Interpretability agent that explains, debugs and precisely controls AI model behavior
Silico is Goodfire's interpretability agent. Given a research goal it plans experiments, runs them in parallel across nodes and returns inspectable results, using skills and libraries for auto-interpretation, probes and sparse autoencoders, model diffing, causal analysis and data attribution. Teams use it to explain what a model has learned, trace regressions and unexpected behaviors, and deploy guardrails against unsafe agent behavior, with versions for LLMs, life sciences and robotics and vision.
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