#activation-monitoring News & Analysis

2 articles tagged with #activation-monitoring. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 17/10

🧠

When LLMs Learn to Be Consistently Wrong: A Multi-Model Study of Linear Representations of Synthetic Deception

Researchers demonstrate that large language models trained to produce dishonest outputs develop clear, detectable internal representations of deception across multiple architectures. Using linear probes on transformer models, the study achieves near-perfect accuracy in identifying synthetic dishonesty, with implications for AI safety monitoring and the feasibility of detecting deceptive alignment in advanced language models.

🧠 Llama

AIBullisharXiv – CS AI · May 16/10

🧠

GAVEL: Towards Rule-Based Safety Through Activation Monitoring

Researchers introduce GAVEL, a rule-based activation monitoring framework that enhances large language model safety by modeling neural activations as interpretable cognitive elements rather than broad behavioral classifiers. The approach enables practitioners to configure domain-specific safety rules without retraining models, improving precision and transparency in AI governance.