A library for making RepE control vectors

[ICLR 2025] General-purpose activation steering library

A resource repository for representation engineering in large language models

Steering vectors for transformer language models in Pytorch / Huggingface

[🏆 CHI26 Best Paper] CoBRA: Reproducible control of LLM agent behavior via classic social science experiments

KV Cache Steering for Inducing Reasoning in Small Language Models

Lightweight representation engineering dataflow operations for agent developers.

[🔥 ICLR 2026] - Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots

Official code for "Activation Steering for Accent Adaptation in Speech Foundation Models" (Interspeech 2026). Parameter-free accent adaptation via mean-shift steering vectors — no weight updates, consistent WER reductions across 8 accents.

CRSM (Continuous Reasoning State Model): An asynchronous "System 2" architecture that implements Hierarchical State Sovereignty within a Mamba backbone. Unlike traditional search wrappers, CRSM uses Forward-Projected Planning and Sparse-Gated Injection to steer latent manifolds in real-time, decoupling strategic reasoning from token generation.

Activation steering and trait monitoring for HuggingFace transformers

Phase-aware LLM activation steering and linear probing. A memory-efficient, practical implementation of Representation Engineering (RepE) for safety research.

Early baby steps towards a long-term vision regarding Mamba-2's state interpretability.

Representation Rerouting for Agentic Safety: Defending LLM Agents against Prompt Injection via Circuit Breakers and Triplet Loss.

LatentBiopsy: Geometric Anomaly Detection for LLM Residual Streams.

Qwen3-0.6B activation steering: style vectors, lens contamination eval, CPRR methodology

Does post-training give the model a self? Testing whether RLHF instills a privileged self-emotion direction in the residual stream, and whether surgical steering on emotion sub-directions can decouple sycophancy from harshness. Open-weight replication on Qwen2.5-32B.

Functional emotional architecture for LLMs — 42 systems, 1994 tests, 27 psychological theories. Emergent emotions via 7 ANIMA pillars: predictive processing, global workspace, autobiographical memory, ontogenic development, motivational drives, emotional discovery, computational phenomenology.

Evaluation framework of different methods for probing and steering LLMs activations to mitigate Chain-of-Thought Unfaithfulness. Research project by Giovanni M. Occhipinti (University of Bologna), Alessandro Abate e Nandi Schoots (University of Oxford).

Latent or Linguistic: Autonomous Behavior in LLMs. CS120 Final Project Submission