method
active
method:injection-strideInjection Stride
Parameter controlling how often an injection is applied during completion; s=1 injects on every activation, achieving strongest steering
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Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Empirical finding about injection stride parameter; injecting into every completion activation maximizes steering strength
- Technique of injecting activation patterns associated with specific concepts into a model's internal states to test whether self-reports reflect ground truth.
- Mean-difference vectors derived from self-statement activations (h_s); best-performing injection method in open-ended generation
- Experimental paradigm where the model is told about the possibility of thought injection and asked to report detection and identification.
- Probe-based injection using L2-regularized logistic regressor with zero intercept on h_b activations
- Probe-based injection using L1-regularized logistic regressor with zero intercept on h_b activations
- Core activation intervention: add scaled vector to residual stream at layer l during completion
- Probe-based injection using L2-regularized logistic regressor with learned intercept on h_b activations