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The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth

Concept formation in transformer language models is depth-extended, not a single-layer event: concepts emerge gradually across a contiguous region of the residual stream. Mechanistic interpretability methods identify the single layer of peak class separation -- the "best layer" -- capturing a snapshot rather than the process itself. We introduce the Concept Allocation Zone (CAZ): the depth interval within which a concept becomes measurably separable, the region allocated to its geometric express

Record details

Published: 24 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Privacy
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (24 May 2026), “The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth,” evidence record 3790, https://ethics.ai/record/3790 (originally published by arXiv).

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