Same attention heads, new task, new role: one internal activation edit changes which fact the model reads and how it influences later layers
Across five open-weight models, holding graph facts fixed and changing only the task instruction redistributes how the same attention heads influence later computation; in Gemma-2-9B and Qwen3-14B, editing one early internal activation vector switches which fact the model reads while the written instruction and weights stay fixed.