Supervised Multi-Dimensional Scaling Reveals LLM Feature Manifolds
Supervised Multi-Dimensional Scaling (SMDS) is an agnostic technique that projects labeled activations into low‑dim, exposing feature manifolds—e.g., temporal reasoning clusters across LLM sizes. getnews.me/supervised-multi-dimensi... #smmds #manifolds