Transformer Attention Map
Attention lets a token representation read from other token representations. It is not magic memory; it is a learned routing pattern over the current context.
Why It Matters
- It explains why context order and formatting affect model behavior.
- It helps separate retrieval problems from reasoning or instruction problems.
- It gives a mental model for context limits, compression, and prompt structure.
Practical Check
When an LLM ignores a detail, ask whether the detail was visible, salient, and connected to the task. Then test with a smaller, sharper context before changing models.