In plain English
AI models represent information as patterns of numbers. Researchers can sometimes identify a numerical direction associated with a behavior, such as following a certain instruction. By adding or adjusting this direction inside the model, they can influence what it produces. The vector acts like a nudge, not a guaranteed command.
Example
A researcher compares internal model activity with and without a formatting instruction, calculates the difference, and uses that difference as a steering vector during generation.