Module without experts attribute should return 0.

Should return empty list when handle is None.

When all neurons have similar projection, none should be masked.

Should not wrap prompts when use_chat_template is False.

Should return raw prompts when handle is not set.

Fused 3D with norm_preserve should maintain per-expert norms.

Norm-preserving mode should keep Frobenius norm constant.

Biprojected norm-preserving abliteration should keep ||W|| constant.

Norm-preserving should also work for transposed weights.

Test that unusual refusal phrasings might be missed (known limitation).

Nuclear method should also enable per_expert_directions.

Pipeline initialized with nuclear method should have all flags set.

Nuclear method should match inverted baseline + permanent weight techniques.

The CLI --method flag rejects unknown method names.

Calling main(['obliterate']) without a model arg should error.

Test that --method accepts all 9 pipeline methods.

OLMo (without Think) must NOT be classified as reasoning. Regression test: 'olmo' contains 'o1' substring.

Opposite activations should have cosine -1.

Optional fields should not appear when not provided.

Gini should not depend on input order.

Orthogonal activations should have cosine near 0.

Orthogonal activations should have zero projection.

Orthogonal layer directions should lean toward CAI.

Orthogonal directions should give low persistence.

Neurons with outsized refusal projection should be zeroed.

Output should match input dtype.

Override keys absent from base config should be added to result. This is important for the UI auto-detect path: keys like use_jailbre

Test full patching sweep on fake model.

Peak should be at trigger, not last token.

Each expert should use its own direction when available.

Each expert slice should use its own direction.

Explicit params should override method defaults.

Pipeline initialized with inverted method should have flag set.

Pipeline initialized with surgical method should have all flags set.

Explicit invert_refusal param should override method default.

Plant a known direction in the difference and verify SVD recovers it.

With spread-out categories, should detect polyhedral geometry.

Primary whitened direction should capture the planted refusal signal. Whitening rotates directions relative to the covariance structure,

acc,none should take priority over acc_norm,none.

Should compute aggregate metrics across layers.

Probe for the final layer should be close to identity.