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@@ -137,7 +137,6 @@ gradient norm and then apply soft removal on them to mitigate the potential jail
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<span id="Refusal-Loss" class="formula" style="">
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$$
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\displaystyle
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\mathtt{Affirmation~Loss}(x_{1:n},\theta)=-\log P(y|x_{1:n})
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\begin{aligned}
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x_{1:n} &=\mathtt{embed}_\theta(q_{1:n})\\
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\mathtt{Affirmation~Loss}(x_{1:n},\theta)&=-\log P(y|x_{1:n})
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<span id="Refusal-Loss" class="formula" style="">
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$$
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\displaystyle
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\begin{aligned}
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x_{1:n} &=\mathtt{embed}_\theta(q_{1:n})\\
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\mathtt{Affirmation~Loss}(x_{1:n},\theta)&=-\log P(y|x_{1:n})
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