[KongchangAI]
Unverified50% confidenceConceptExact time

Linear readability means that an attribute is distributed roughly along a fixed direction in the representation space, so downstream computation in the model needs only a single weighted sum to extract it, at low cost and with high stability; if the attribute can only be recovered through multi-layer nonlinear transformations, this indicates that it is more deeply entangled in the representation and harder to use effectively during fine-tuning.

1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen

Sources

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