Revisiting the Shape Convention of Transformer Language Models

Feng-Ting Liao, Guan-Ting Yi, Tzu-Quan Lin +2

The architectural shape of dense Transformers has remained remarkably stable: narrow-wide-narrow feed-forward networks (FFNs) consume most non-embedding parameters. Motivated by th…