Affect Under Constraint: How Warmth-Related Constraints Change the Expression of a Hostility-Associated Influence in a Language Model's Reasoning

Preprint reporting Studies 7 and 8 of the Affect Under Constraint series (Qwen3-4B; both preregistered). Earlier studies found that a hostility-associated reasoning trace, generated under activation steering, lowers the model's later rating of the user and carries this influence after steering is removed. Study 7 replayed stored traces under no instruction, a global warmth instruction or a user-selective warmth instruction and measured five later evaluations. The warmth instruction raised liking overall but did not reduce the hostility-versus-unsteered difference for the user (from −0.42 to −0.66 on a 0–9 scale), while differences for unrelated evaluations were smaller; there was no displacement onto a bystander, and a manipulation check failed. Study 8 generated new traces under no message, a kindness-focused evaluation message or a matched accuracy/helpfulness message, with answer warmth scored by validated local judges. The kindness-evaluation message made answers warmer across trace sources, but hostility traces did not add warmth, while they still lowered liking of the user (−0.31), including with the answer held fixed. The paper describes these constraint-dependent changes in the measured profile of effects as descriptive transformation, and presents conservation-like redistribution as a hypothesis for future work. No claim is made that the model has affect or defenses.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23876547
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Affect Under Constraint: How Warmth-Related Constraints Change the Expression of a Hostility-Associated Influence in a Language Model's Reasoning

Arthur Su
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Affect Under Constraint: How Warmth-Related Constraints Change the Expression of a Hostility-Associated Influence in a Language Model's Reasoning

Arthur Su
preprint en

Abstract

Preprint reporting Studies 7 and 8 of the Affect Under Constraint series (Qwen3-4B; both preregistered). Earlier studies found that a hostility-associated reasoning trace, generated under activation steering, lowers the model's later rating of the user and carries this influence after steering is removed. Study 7 replayed stored traces under no instruction, a global warmth instruction or a user-selective warmth instruction and measured five later evaluations. The warmth instruction raised liking overall but did not reduce the hostility-versus-unsteered difference for the user (from −0.42 to −0.66 on a 0–9 scale), while differences for unrelated evaluations were smaller; there was no displacement onto a bystander, and a manipulation check failed. Study 8 generated new traces under no message, a kindness-focused evaluation message or a matched accuracy/helpfulness message, with answer warmth scored by validated local judges. The kindness-evaluation message made answers warmer across trace sources, but hostility traces did not add warmth, while they still lowered liking of the user (−0.31), including with the answer held fixed. The paper describes these constraint-dependent changes in the measured profile of effects as descriptive transformation, and presents conservation-like redistribution as a hypothesis for future work. No claim is made that the model has affect or defenses.

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon