locate-steer-and-improve-a-practical-survey-of

name	locate-steer-and-improve-a-practical-survey-of
title	Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.14004
keywords	["Agents","Benchmarking"]
description	Mechanistic Interpretability (MI) has emerged as a vital approach to demystify the opaque decision-making of Large Language Models (LLMs). However, existing reviews primarily treat MI as an observational science, summarizing analytical insights while lacking a systematic framework for actionable intervention. To bridge this gap, we present a practical survey structured around the pipeline: 'Locate, Steer, and Improve.' We formally categorize Localizing (diagnosis) and Steering (intervention) met...

Overview

This skill covers research on locate, steer, and improve: a practical survey of actionable mechanistic interpretability. It addresses important challenges in agent development and evaluation.

Key Insights

The paper provides:

• Novel approaches or frameworks for agent systems
• Empirical evaluation results and benchmarks
• Generalizable principles for practitioners

When to Use

Use this skill when working on:

• Agent-based systems and applications
• Autonomous reasoning and planning
• Agent performance evaluation and improvement

When NOT to Use

• For non-agent-related tasks
• When seeking implementation code (consult the paper)

Resources

• ArXiv Abstract: https://arxiv.org/abs/2601.14004
• Full PDF: https://arxiv.org/pdf/2601.14004
• HTML: https://arxiv.org/html/2601.14004

Refer to the original paper for complete technical details, methodology, and experimental protocols.