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ResearchFormerly WizWand

Drift Detection on Controlled (post-cutoff)

0.95AUROCOur probe
0.41960.55730.6950.8327May 9, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Our probeModel=Llama-22026.050.95
Our probeModel=Llama-3.12026.050.93
MLP probe (drift)Model=Mistral2026.050.92
MLP probe (drift)Model=Llama-3.12026.050.92
Our probeModel=Mistral2026.050.92
MLP probe (drift)Model=Llama-22026.050.89
Our probeModel=Mean2026.050.89
Our probeModel=Qwen-2.52026.050.85
Our probeModel=Gemma-2B2026.050.84
Our probeModel=Gemma-9B2026.050.83
MLP probe (drift)Model=Mean2026.050.82
MLP probe (drift)Model=Gemma-2B2026.050.78
SEPModel=Gemma-2B2026.050.75
MLP probe (drift)Model=Gemma-9B2026.050.75
Generation lengthModel=Llama-3.12026.050.63
MLP probe (drift)Model=Qwen-2.52026.050.63
Scalar ensembleModel=Llama-3.12026.050.62
Generation lengthModel=Gemma-9B2026.050.6
SAPLMAModel=Llama-3.12026.050.6
SAPLMAModel=Qwen-2.52026.050.58
Token entropyModel=Llama-3.12026.050.57
Token entropyModel=Gemma-2B2026.050.57
SEPModel=Mean2026.050.57
Sequence entropyModel=Gemma-2B2026.050.56
CCSModel=Gemma-9B2026.050.56
Token entropyModel=Gemma-9B2026.050.55
Token probabilityModel=Llama-3.12026.050.55
Sequence log-probModel=Mistral2026.050.55
Sequence log-probModel=Gemma-2B2026.050.55
SEModel=Gemma-9B2026.050.55
SEModel=Gemma-2B2026.050.55
SEPModel=Llama-3.12026.050.55
SEPModel=Gemma-9B2026.050.55
CCSModel=Llama-22026.050.55
Token probabilityModel=Gemma-9B2026.050.54
Token probabilityModel=Gemma-2B2026.050.54
Sequence entropyModel=Mistral2026.050.54
Generation lengthModel=Mean2026.050.54
SEModel=Llama-3.12026.050.54
SEModel=Mean2026.050.54
Scalar ensembleModel=Gemma-9B2026.050.54
CCSModel=Qwen-2.52026.050.54
CCSModel=Gemma-2B2026.050.54
CCSModel=Mean2026.050.54
Token entropyModel=Mean2026.050.53
SEModel=Mistral2026.050.53
SEModel=Qwen-2.52026.050.53
Scalar ensembleModel=Llama-22026.050.53
Scalar ensembleModel=Mean2026.050.53
SEPModel=Llama-22026.050.53
SEPModel=Mistral2026.050.53
SEPModel=Qwen-2.52026.050.53
SAPLMAModel=Llama-22026.050.53
SAPLMAModel=Mean2026.050.53
CCSModel=Llama-3.12026.050.53
Token entropyModel=Llama-22026.050.52
Token probabilityModel=Mean2026.050.52
Top-k marginModel=Gemma-9B2026.050.52
Generation lengthModel=Mistral2026.050.52
SEModel=Llama-22026.050.52
Token probabilityModel=Llama-22026.050.51
Sequence log-probModel=Gemma-9B2026.050.51
Sequence log-probModel=Mean2026.050.51
Sequence entropyModel=Llama-22026.050.51
Sequence entropyModel=Mean2026.050.51
Top-k marginModel=Llama-22026.050.51
Top-k marginModel=Llama-3.12026.050.51
SAPLMAModel=Gemma-2B2026.050.51
Token entropyModel=Mistral2026.050.5
Sequence log-probModel=Llama-22026.050.5
Sequence entropyModel=Gemma-9B2026.050.5
Generation lengthModel=Llama-22026.050.5
Generation lengthModel=Gemma-2B2026.050.5
Scalar ensembleModel=Gemma-2B2026.050.5
CCSModel=Mistral2026.050.5
Token probabilityModel=Mistral2026.050.49
Top-k marginModel=Mistral2026.050.49
Top-k marginModel=Mean2026.050.49
Scalar ensembleModel=Mistral2026.050.49
SAPLMAModel=Gemma-9B2026.050.49
Token entropyModel=Qwen-2.52026.050.47
Token probabilityModel=Qwen-2.52026.050.47
Sequence log-probModel=Llama-3.12026.050.47
Sequence log-probModel=Qwen-2.52026.050.47
Sequence entropyModel=Llama-3.12026.050.47
Sequence entropyModel=Qwen-2.52026.050.47
Generation lengthModel=Qwen-2.52026.050.47
Scalar ensembleModel=Qwen-2.52026.050.47
SAPLMAModel=Mistral2026.050.47
Top-k marginModel=Qwen-2.52026.050.46
Top-k marginModel=Gemma-2B2026.050.44