# Preprint reports better model alignment by selecting intervention layers for each input

_Published Friday, October 16, 2026 at 7:22 AM EDT · AI, Science · Latest · Tier 2 — Notable_

Researchers report that selecting where to intervene inside a language model for each input improves alignment with target behaviors across multiple models. Their preprint introduces Where to Steer, a framework that learns to choose intervention layers from the model's internal representations of an input.

The method adjusts intermediate representations to steer behavior during inference. It outperformed methods using a fixed intervention layer on both inputs resembling the training distribution and inputs outside it. The findings concern behavioral steering rather than a change to model training.

## Sources

- [cs.LG updates on arXiv.org](https://arxiv.org/abs/2604.03867)

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Canonical: https://techandbusiness.org/newswire/pOPburynIHwgzjUle80nro
Published: 2026-10-16T11:22:19.453Z
Story chronology: 2026-10-16T04:00:00.000Z
Retrieved: 2026-10-16T14:18:00.464Z
Publisher: Tech & Business (techandbusiness.org)