Interpretability Researchers Debate High-Modulus Arithmetic Features in Neural Networks
In a debate with Neel Nanda and others, researcher thebasepoint argued that high-modulus arithmetic features show resolution beyond what neuron counts would predict, and that continuous phenomena may be a better lens for understanding model internals.
2026-10-19 ~ 2026-10-19 · 2 related posts
- Interpretability debate: higher-modulus arithmetic features exceed allotted neuron resolution — thebasepoint · 2026-10-19
- Interp debate: why neurons miss high moduli yet the model still adds fine — thebasepoint · 2026-10-19