Maksim Podkorytov

Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications

The success of language models based on the Transformer architecture appears to be inconsistent with observed anisotropic properties of representations learned by such models. We resolve this by showing, contrary to previous studies, that the representations do not occupy a narrow cone, but rather d…