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How Far Does a Shared Linear Map Go? Probing Feature-Space Manipulability for Image Editing
Understanding how image-space transformations manifest in a model's internal representations is a longstanding goal in representation analysis. Prior work has shown that geometric transformations can often be captured by learned linear operators between feature maps, but it remains unclear whether t
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