iteratively applying this process we can basically get something like a similarity score between these layers so the score just tells us well you know how how similar are the representations learned by these layers sort of up to sort of scaled linear transforms so that's the way in which it addresses this disalignment issue and so previously we've kind of used this to study various properties of convolutional networks lately it's been become quite popular in studying various different kinds of language models in