anthropics / sleeper-agents-paperLinks
Contains random samples referenced in the paper "Sleeper Agents: Training Robustly Deceptive LLMs that Persist Through Safety Training".
☆118Updated last year
Alternatives and similar repositories for sleeper-agents-paper
Users that are interested in sleeper-agents-paper are comparing it to the libraries listed below
Sorting:
- Improving Alignment and Robustness with Circuit Breakers☆235Updated last year
- ☆58Updated last week
- Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.☆114Updated last year
- Adversarial Attacks on GPT-4 via Simple Random Search [Dec 2023]☆43Updated last year
- ☆102Updated 5 months ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆125Updated 7 months ago
- Code to break Llama Guard☆32Updated last year
- [ICLR'24 Spotlight] A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use☆165Updated last year
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆117Updated last year
- WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…☆143Updated 4 months ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆72Updated last year
- METR Task Standard☆162Updated 8 months ago
- ☆138Updated 2 months ago
- Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".☆278Updated 3 months ago
- LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces☆97Updated 2 years ago
- Collection of evals for Inspect AI☆241Updated this week
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆28Updated last year
- Open source interpretability artefacts for R1.☆160Updated 5 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆136Updated 3 months ago
- Code for Preventing Language Models From Hiding Their Reasoning, which evaluates defenses against LLM steganography.☆24Updated last year
- ☆31Updated 2 years ago
- Run safety benchmarks against AI models and view detailed reports showing how well they performed.☆106Updated this week
- RuLES: a benchmark for evaluating rule-following in language models☆234Updated 7 months ago
- ☆78Updated 4 months ago
- Code for our paper "Decomposing The Dark Matter of Sparse Autoencoders"☆24Updated 8 months ago
- ☆58Updated 2 years ago
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆93Updated last year
- Evaluating LLMs with fewer examples☆161Updated last year
- Functional Benchmarks and the Reasoning Gap☆89Updated last year