A curated list of resources for activation engineering

Runtime control of LLM agent behaviors through activation steering vectors. More calibrated than prompting.

Iterative Sparse Matrix Steering: Closed-Form Subspace Alignment for Multi-Layer LLM Control (No SGD required).

A closed-loop control system for Large Language Models that steers internal activation states in real-time to prevent mode collapse and toxicity

pysteer is a lightweight Python library for activation steering, representation engineering, and inference-time model steering in PyTorch transformer language models. It learns steering artifacts from labeled prompt/response examples, then applies interventions to intermediate activations without fine-tuning or modifying model weights.