sort of understanding why this is happening would be really interesting okay so um final point is that in the paper we have a lot more kind of work on sort of broadly thinking about similarity and reuse there are other interesting things we see like we can store for our larger models our similarity at initialization can be pretty predictive sort of similarity post training we can also like kind of look at how much feature reused is happening and this interesting co-adaptation problem which happy to chat about more offline but you know i