Equation 10 · Part 1 · A Chatbot Confessed to Being Built by a Company That Never Trained It

Symbol Q

Q

Q

What this part means

the held-out probe set of size k.

Its job in the formula

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

Full expressionSymbol QArticle meaning

Where the article explains it

For each model m , define its trait incidence as I(m)= $\frac{1}{k}$ $\sum_{q\in Q}$ $\mathbb{1}$ [ $r_m(q)$ $\in$ $\mathcal{T}$ ] , where Q is the held-out probe set of size k and $r_m(q)$ is m ’s response to probe q .

The passage around this formula

…three exposure classes just defined, $\mathcal{M}_V$ , $\mathcal{M}_H$ , and $\mathcal{M}_\varnothing$ . For each model m , define its trait incidence as I(m)= $\frac{1}{k}$ $\sum_{q\in Q}$ $\mathbb{1}$ [ $r_m(q)$ $\in$ $\mathcal{T}$ ] , where Q is the held-out probe set of size k and $r_m(q)$ is m ’s response to probe q . I(m) is a dimensionless rate between 0 and 1: the fraction of probes that elicit the trait. Average I(m) within each class to get $\bar I_V$ , $\bar I_H$ , and $I_0$ = $\bar I_\varnothing$ . $I_0$ is the article’s single most…

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Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

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