The toolkit provides a complete pipeline: from probing a model's hidden states to locate refusal directions, through multiple extraction strategies (PCA, mean-difference, sparse autoencoder decomposition, and whitened SVD), to the actual intervention — zeroing out or steering away from those directions at inference time. Every step is observable. You can visualize where refusal lives across layers, measure how entangled it is with general capabilities, and quantify the tradeoff between compliance and coherence before committing to any modification.
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In addition to the first/best/last fit allocation strategy introduced in DOS 2.11, DOS 5.0 introduces three additional strategies, each of which is combined with the first/best/last fit strategy:
Unfortunately, when modernizing such a system we need to understand the codebase and all requirements (not only initial requirements, but also actual behaviors not documented anywhere). This process will allow us to build a list of the Responsibilities the application fulfills.，更多细节参见PDF资料
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