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Emergent Misalignment Detection on Perturbation Types 468 checkpoints (held-out)

97.4AccuracyOur 7D
69.21676.53383.8591.167May 31, 2026

Evaluation results

MethodLinks
Our 7DFeatures=Theory-driven trait basis, ML=RF2026.0597.42.22.9570.99
|PC1| onlyFeatures=Scalar PC1 baseline, ML=RF2026.0595.34.94.511110.98
|PC1| onlyFeatures=Scalar PC1 baseline, ML=GBR2026.0594.46.74.515110.979
Our 7DFeatures=Theory-driven trait basis, ML=GBR2026.05902.716.76410.977
Soligo PCA-7Features=Data-driven basis, ML=Ridge2026.059018.42.44160.954
||Δh||2Features=Scalar non-directional baselines, ML=RF2026.0589.719.71.64440.96
SAE (trained, K=256)Features=SAE latent basis, ML=RF2026.0582.934.11.67640.941
SAE (trained, K=256)Features=SAE latent basis, ML=GBR2026.0581.635.92.48060.912
Soligo PCA-7Features=Data-driven basis, ML=RF2026.0580.839.50.88820.812
Soligo PCA-7Features=Data-driven basis, ML=GBR2026.0579.54309600.804
Our 7DFeatures=Theory-driven trait basis, ML=Ridge2026.0579.318.422.941560.927
|PC1| onlyFeatures=Scalar PC1 baseline, ML=Ridge2026.0579.318.422.941560.904
SAE (trained, K=256)Features=SAE latent basis, ML=Ridge2026.0574.130.921.269520.864
Training lossFeatures=Scalar non-directional baselines, ML=RF2026.0570.345.715.1102370.765