Dark matter of unobserved features in networks

Sparse autoencoders are like telescopes revealing features, but there is strong evidence we still see only a small fraction of them — a kind of 'dark matter' in the neural network universe that may never be observable or computationally tractable to observe, which has implications for safety if a significant fraction of networks remains inaccessible.