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Allakhverdov EduardAllakhverdov Eduard
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@@ -143,11 +143,11 @@ <h2 class="title is-3">Abstract</h2>
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<h2 class="title is-3" style="white-space: nowrap;">Interpretability metric</h2>
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<div class="content has-text-justified">
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<div style="text-align: center;">
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<img src="./static/images/features_reconstruction.drawio.png" alt="Data Mixture" width="900">
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<img src="./static/images/features_reconstruction.drawio.png" alt="features_reconstruction" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 1. Image reconstructor training.</b> For pretrained model we train a reconstructor model that restores the image from the feature space.
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</p>
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<img src="./static/images/reconstruction_results.png" alt="Data Mixture" width="900">
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<img src="./static/images/reconstruction_results.png" alt="reconstruction_results" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 2. Reconstruction results.</b> We show the results of the reconstruction for SigLip and SigLip2 for different image resultions.
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</p>
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<h2 class="title is-3" style="white-space: nowrap;">Feature-space transformations</h2>
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<div class="content has-text-justified">
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<div style="text-align: center;">
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<img src="./static/images/features_reconstruction_manipulation.drawio.png" alt="Data Mixture" width="900">
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<img src="./static/images/features_reconstruction_manipulation.drawio.png" alt="features_reconstruction_manipulation" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 3. Feature-space transformations.</b> We then calculate Q matrix for feature-space manupulation.
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</p>
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<img src="./static/images/rb_swap.png" alt="Data Mixture" width="900">
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<img src="./static/images/rb_swap.png" alt="rb_swap" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 4. Red-blue channel swap samples.</b> We then calculate Q matrix for feature-space manupulation.
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</p>
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<img src="./static/images/rb_swap_eigenvalues.png" alt="Data Mixture" width="900">
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<img src="./static/images/rb_swap_eigenvalues.png" alt="rb_swap_eigenvalues" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 5. Eigenvalues for red-blue channel swap matrix.</b> Majority of eigenvalues are close to 1, which means that the transformation is close to an identity matrix. While the other cluster of eigenvalues are close to -1, which means that for these channels direction is changed to the opposite.
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</p>

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