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Equation 2 · Part 1 · How Do We Know an Interpretability Claim Is Actually Right?

Symbol theta_rand

θrand\theta_{\mathrm{rand}}
θrand\theta_{\mathrm{rand}}

What this part means

the same architecture reinitialized at random.

Its job in the formula

thetara_rand is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Where the article explains it

Stated as a minimal necessary condition, if θ\theta are a trained model’s weights, θrand\theta_{\mathrm{rand}} the same architecture reinitialized at random, and ϕ(f,x)\phi(f, x) the explanation a method produces for input x under model f , then a method worth trusting should satisfy

The passage around this formula

…or left at its random initialization, meaning the “explanation” was substantially independent of what training had actually done [ 6 ] . Stated as a minimal necessary condition, if θ\theta are a trained model’s weights, θrand\theta_{\mathrm{rand}} the same architecture reinitialized at random, and ϕ(f,x)\phi(f, x) the explanation a method produces for input x under model f , then a method worth trusting should satisfy

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Sources cited in the surrounding passage

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