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This changes the gated MLPs in the base model to be able to handle batches with disparate alt and ref counts. Since batches are now all random samples of data we can probably get away with larger batch sizes, increasing GPU use.
It will also enable greater variety of ref counts. Previously we have downsampled ref counts to exactly 5 or 10 reads; this is no longer necessary. That's most likely good for generalizability.