The Geometry of Contextual Relations: Language Models Address Facts by Order of Mention

arXiv:2610.00910 · cs.CL, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/MasterZhou1/order-of-mention

Terminology

• Calibration — 64× in this paper · explained in 7 episodes
• Transformer — 21× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Steering — 5× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Activation Addition — 2× in this paper · explained in 1 episode
• Interpretability — 2× in this paper · explained in 15 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mechanistic interpretability — 1× in this paper · explained in 2 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Cell-Based Representation of Relational Binding in Language Models
• Language Models Represent and Transform Concepts with Shared Geometry
• The Origins of Representation Manifolds in Large Language Models
• ICLR: In-Context Learning of Representations
• The Geometry of Categorical and Hierarchical Concepts in Large Language Models
• 2 OLMo 2 Furious

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