Rome

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ROME is an open-source tool for locating and editing factual associations in GPT models, implementing Rank-One Model Editing on auto-regressive transformers. It supports OpenAI's GPT-2 XL and EleutherAI's GPT-J.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is rome?

ROME (Rank-One Model Editing) is an open-source tool designed for researchers and developers to precisely locate and modify factual associations within large language models, specifically GPT-2 XL and GPT-J. This GPU-only implementation allows for targeted editing of model knowledge without extensive retraining. It provides functionalities for causal tracing to understand model behavior and a straightforward API for specifying rewrite requests. The repository includes evaluation suites for benchmarking editing methods against CounterFact, making it a valuable resource for advancing research in model interpretability and editability. Users can also integrate new editing methods for comparative analysis.

Best used for

Ideal for researchers and developers who need to precisely modify factual knowledge in GPT models, understand how models store information, and benchmark different model editing techniques. Especially valuable for academic research in AI interpretability and model steering.

Common actions

edit AI models

understand model behavior

evaluate editing methods

research language models

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Capabilities

Key features

Locate factual associations
Edit GPT models
Causal tracing
CounterFact evaluation
Integrate new methods
GPU-only operation

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Which GPT models does ROME currently support?

ROME currently supports OpenAI's GPT-2 XL (1.5B parameters) and EleutherAI's GPT-J (6B parameters). The developers anticipate supporting future larger GPT-like models as they become available, aiming to expand its applicability in model editing research.

What are the hardware requirements for running ROME?

ROME is designed for GPU-only operation, specifically targeting auto-regressive transformers. Users will need access to appropriate GPU hardware to run the model editing and causal tracing functionalities effectively, as indicated by the repository's setup instructions.

Can I integrate my own model editing methods with ROME?

Yes, ROME is designed to allow integration of new editing methods. Users can subclass HyperParams, create a hyperparameters file, define a function to apply their method to a model, and add it to the evaluation script for benchmarking against CounterFact.

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AI Agents & Automation › AI Frameworks & Infra Coding & Development › Open Source & Models

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