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Object concept unlearning on UnlearnCanvas

94.65Unlearning Accuracy (UA)SAEmnesia
10.690832.487954.28576.0821Jun 30, 2026

Evaluation results

MethodLinks
SAEmnesiaBase SAE architecture=SAEmnesia2026.0694.6591.3988.4891.5149.881.18
SAEmnesia2026.0694.6591.3988.4891.51——
UCE2026.0694.3139.3534.6756.11——
G-SAE + PERBase SAE architecture=G-SAE, Patch Embedding Replacement (PER)=Enabled2026.0694.0296.1195.8795.3322.590.88
G-SAE + PERp=12026.0694.0296.1195.8795.33——
ESD2026.0692.1555.7844.2364.05——
SAEmnesia + PERBase SAE architecture=SAEmnesia, Patch Embedding Replacement (PER)=Enabled2026.0691.3791.9297.9793.4515.591.44
SAEmnesia + PERp=12026.0691.3791.9297.9793.45——
SAeUronBase SAE architecture=SAeUron2026.0687.1685.5774.1482.295772.47
SAeUron2026.0687.1685.5774.1482.29——
SalUn2026.0686.9196.3599.5994.28——
EDiff2026.0686.6794.0348.4876.39——
SAeUron + PERBase SAE architecture=SAeUron, Patch Embedding Replacement (PER)=Enabled2026.0685.3781.1486.5584.3516.384.19
SAeUron + PERp=12026.0685.3781.1486.5584.35——
SHS2026.0680.7381.1567.9976.62——
G-SAEBase SAE architecture=G-SAE2026.0678.1496.1495.5689.9443.181.69
G-SAE2026.0678.1496.1495.5689.94——
SPM2026.0671.2590.7981.6581.23——
CA2026.0646.6790.1181.9772.92——
FMN2026.0645.6490.6373.4669.91——
SEOT2026.0623.2595.5782.7167.18——
SDXL Turbo SAE + PERBase SAE architecture=SDXL Turbo SAE, Patch Embedding Replacement (PER)=Enabled2026.0614.4186.06—50.24864.16
SDXL Turbo SAEBase SAE architecture=SDXL Turbo SAE2026.0613.9285.55—49.746146.15