Safety3h ago
Safety
Explaining Neural Computation in Superposition
A new writeup simplifies the theoretical machine learning paper On the Complexity of Neural Computation in Superposition. The author strips away dense computer science mathematics to explain how models store more features than they have dimensions. This distillation helps non-experts grasp the mechanics of superposition and its impact on model interpretability.