Emergent Latent-State Computation under Stochastic Volatility
Stochastic volatility models provide a useful benchmark for mechanistic interpretability under noisy latent dynamics and partial observability, and output-head replacement shows that part of the degradation under noisy MSE training arises from readout misalignment rather than representation failure.