I guess the next step is to see if you're getting those mega activations as he describes.
A/B test the two models and compare?
Would be interesting to see if these activations only show up on larger models, or they're some relation to model size.
https://news.ycombinator.com/item?id=36871528
Hah. Yes. It looks like they only show up in models with 6.7B parameters or more.
The problem can start at 125M. Small enough to test on a whim.
So train a model that exhibits these behaviours, then try it out.
I didn't follow Miller's proposal quite as he wrote it though and I put the mechanism in all the layers rather than avoiding it at the end.
My test doesn't absolutely rule out usefulness-- there's always different ways of applying something, but I saw no indication of it.