SemRF provides a principled way to track semantic meaning across model layers, enabling researchers to distinguish real computation from measurement drift and connect layer-wise complexity to parameter efficiency.
This paper introduces Semantic Reference Frames (SemRF), a mathematical framework for analyzing how language models process information across layers.