Nathanegbuna

Eliminating text looping/latent collapse in LLM activation steering

Share on:

A training-free dynamic steering framework that modulates intervention strength per token based on local hidden state geometry, eliminating text looping and scaling LLM test-time compute.

LaTense: Mitigating Latent Collapse in Activation Steering via Geometric Alignment LaTense: Mitigating Latent Collapse in Activation Steering via Geometric Alignment Nathan Egbuna University of Pennsylvania     [email protected]     Preprint, 2026 Latent space steering is a promising training-free paradigm for LLM control, yet current static interventions often trigger catastrophic text looping and reasoning collapse. We propose LaTense ( Lat ent S ense ), a dynamic steering framework that modulates intervention strength based on the local geometric alignment

Related listings

Balsio – a free European alternative to WhatsApp for work chats

I built Trama(gotrama) to monitor agency client sites

Agent computers that are cheap, simple, and built in Europe

Review your Anki deck out loud on a walk

I'm building a social platform

AI Automations that do not fail silently