the CCI work then there was a more recent paper that's really pushing this framework of having activation vectors for neurons and and sort of comparing similarities between subspaces and then most recently there's been this paper similarity of neural networks representations revisited by Kornbluth naruse Ely and Hinton that's broadly proposing a kernel based similarity measure and one one quick note about sort of all of these is that I think performing these sort of similarity comparisons is a very interesting way to try and get at what