you just input white noise so instead of the data you measure that score by just inputting noise that I guess has some sort of the same magnitude as the data would have but it's just noise and you can still sort of see this linear relationship which is very interesting and that I think also shows some that you what you'll find what you find is a property of the network itself and the fact that it is it is initialized and built in such a way that it allows you to train it in a very in a sort of a benign manner it has no degeneracies