---
title: "Controlling Tool Use with Heading-Specific Activation Steering — Stuff That Spins"
description: "arXiv:2607.05790v1 Announce Type: new Abstract: Tool-augmented large language models extend their capabilities beyond parametric knowledge through external too…"
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date: "2026-07-08T04:00:00+00:00"
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# Controlling Tool Use with Heading-Specific Activation Steering

**Source:** Unknown  
**Published:** July 8, 2026  
**Original:** https://arxiv.org/abs/2607.05790  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.05790v1 Announce Type: new Abstract: Tool-augmented large language models extend their capabilities beyond parametric knowledge through external tools, but tend to invoke them unnecessarily. We investigate whether tool-use decisions have any stable internal representation that can be extracted and manipulated, a question that is non-trivial given that tools exist entirely in context at inference time and have no direct encoding in model weights. We show that steering vectors extracted

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