Signals 4 · free daily AI digest

The Answer-Basin Representation Hypothesis: We Are Not Probing or Steering Concepts

Paper recorded by Signals 4 on 2026-09-21 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.CL · 自然语言处理 · first seen 2026-09-22

Abstract

The Linear Representation Hypothesis associates high-level concepts with directions in language models, but it remains unclear how these concept-related linear structures are organized within the model. We propose the Answer-Basin Representation Hypothesis: the probability measure induced over answers by the model's continuation distribution organizes these linear structures, with its statistics r

Read on arXiv →

#9 most recent of 212 cs.CL papers we have recorded · ↑ newer: Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLM · ↓ older: MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborativ
Cite this page: The Answer-Basin Representation Hypothesis: We Are Not Probing or Steering Concepts: the #9 most recent of 212 cs.CL papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-answer-basin-representation-hypothesis-we-are-not-probing-or-steering-concep.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions