SPEX Cracks Open LLMs' Hidden Interactions at Massive Scale
LLMs aren't solo acts—they thrive on tangled interactions. SPEX slashes through the noise to spotlight the real influencers.
⚡ Key Takeaways
- SPEX identifies sparse, low-degree interactions in LLMs using spectral methods and coding theory.
- ProxySPEX use model hierarchies for 10x fewer ablations without losing accuracy.
- Unlocks scalable interpretability across features, data, and circuits—key for trustworthy AI.
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Originally reported by Berkeley AI Research