Block-Level Weight-Space Structure Persists Under Post-Training: An Empirical Study Across LLM Families

Modern LLMs are deployed as families of post-trained variants (base, instruct, chat, code) derived from a shared set of pre-trained weights. We present an empirical study of how post-training transforms weight-space geometry, covering eight configurations across four architecture families (Qwen2.5,