# Train on Prefill, Monitor at Decode: Using Sparse Autoencoders for Topic Monitoring

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-11-11T05:00:00.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 90/100  
> **Primary Source:** [arXiv AI](https://arxiv.org/abs/2611.12935)  
> **Canonical Citation:** [https://spidits.com/timeline/train-on-prefill-monitor-at-decode-using-sparse-autoencoders-for-topic](https://spidits.com/timeline/train-on-prefill-monitor-at-decode-using-sparse-autoencoders-for-topic)

## Executive Summary
Topic monitoring is the task of labelling the topic of each token in a model's response during generation.

## Referenced Coverage & Sources
- **[arXiv AI](https://arxiv.org/abs/2611.12935)**: Train on prefill, monitor at decode: Using sparse autoencoders for topic monitoring — _Topic monitoring is the task of labelling the topic of each token in a model's response during generation. Activation-based monitors that run at generation..._

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