docs: improve settings documentation
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@@ -207,9 +207,11 @@ class Settings(BaseSettings):
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winsorization_quantile: float = Field(
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default=1.0,
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description=(
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"The symmetric winsorization to apply to each layer of the per-prompt residuals, "
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"The symmetric winsorization to apply to the per-prompt, per-layer residual vectors, "
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"expressed as the quantile to clamp to (between 0 and 1). Disabled by default. "
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"Example: winsorization_quantile = 0.95 applies a 95% winsorization."
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'This can tame so-called "massive activations" that occur in some models. '
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"Example: winsorization_quantile = 0.95 computes the 0.95-quantile of the absolute values "
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"of the components, then clamps the magnitudes of all components to that quantile."
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),
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)
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