Symbol h_ell
the frozen activation the network produces at layer for input x , and w.
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Why this formula appears here
where is the frozen activation the network produces at layer for input x , and w, b are the probe’s own parameters, trained on labelled examples the network never saw during its own training. Nothing in that objective touches the network’s weights or its downstream computation. A probe reports only whether some linear function of this one activation predicts the label well.
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Symbol x
x is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
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Read this expression with the definitions, units, and assumptions supplied by the article.
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Published contexts (1)
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Equation 2 · AI Research
Probing, Sparse Autoencoders, Patching, and Steering: The Main Interpretability Methods, Compared
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
where is the frozen activation the network produces at layer for input x , and w, b are the probe’s own parameters, trained on labelled examples the network never saw during its own training. Nothing in that objective touches the network’s weights or its downstream computation. A probe reports only whether some linear function of this one activation predicts the label well.