of like kind of maybe really kind of getting at sort of similarity of representations at initialization versus after training and sort of how I do things vary between large and small models because at least I mean looking at the weight certainly they're learning very different filters so sort of understanding that better would be really interesting and then I think there's also kind of scope here to actually formalize things a little more so I'm sort of seeing medical imaging partially also as this way of seeing a