Goodfire Research Demonstrates Mechanistic Interpretability Can Reduce LLM Hallucinations

Summary

Goodfire published a February 2026 paper titled "Features as Rewards" demonstrating that mechanistic interpretability techniques can directly reduce hallucination rates in language models. The approach identifies which internal features activate during factual versus confabulated responses, enabling targeted interventions that lower hallucination rates without degrading overall model quality. The company recently raised $150 million in a Series B round at a $1.25 billion valuation. This researc