
One shared matrix applies a different correction to each input. At a linear projection, a weight edit and an activation hook implement the same rule exactly. This is a mathematical example.
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Exact linear-writer toy—not Qwen activation data. Let , , , , , and . The installed writer and the hook agree on each current input. Fixed output coordinates show two matched interventions with shared strength from 0 to 1: on the left, an edited matrix transforms a sampled input grid; on the right, a fixed reference grid remains while each output shifts by . Hollow points mark original outputs, filled points edited outputs, and colors preserve identity. At full strength, A moves by , B stays still, and C by . This is an analytic interpolation, not an optimization record or measured Qwen dynamics.
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