Skip to content
View original post on X: ZyphraOfficial
Published
22/100

Zyphra explains why top-p attention selection may be subquadratic

AIZyphra says the top-p set in dense attention models scales like a sublinear power law, suggesting attention is already intrinsically sparse. It says its ZHA method uncovers this structure, and the post asks whether top-p selection is actually subquadratic.
ZyphraVerified on XOfficial
@ZyphraAI
View on X

Part of a thread · earlier post

But why should top-p selection work, and is this actually subquadratic?

In dense attention models, it turns out that the top-p set naturally scales like a sublinear power law.

This suggests that attention is already intrinsically sparse. ZHA simply uncovers this structure.

Source details

Zyphra · x.comPublished · added here

Original title: But why should top-p selection work, and is this actually subquadratic?