Thilo Stadelmann

The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training

Self-attention is essential to Transformer architectures, yet how information is embedded in the self-attention matrices and how different objective functions impact this process remains unclear. We present a mathematical framework to analyze self-attention matrices by deriving the structures govern…