Transformer Explainer: Interactive Learning of Text-Generative Models
akhaliq
Abstract
Transformers have revolutionized machine learning, yet their inner workings remain opaque to many. We present Transformer Explainer, an interactive visualization tool designed for non-experts to learn about Transformers through the GPT-2 model. Our tool helps users understand complex Transformer concepts by integrating a model overview and enabling smooth transitions across abstraction levels of mathematical operations and model structures. It runs a live GPT-2 instance locally in the user's browser, empowering users to experiment with their own input and observe in real-time how the internal components and parameters of the Transformer work together to predict the next tokens. Our tool requires no installation or special hardware, broadening the public's education access to modern generative AI techniques. Our open-sourced tool is available at https://poloclub.github.io/transformer-explainer/. A video demo is available at https://youtu.be/ECR4oAwocjs.
Community
This is visualisation done right. I am lost for words.
Great to see! We need more visualisations like this. How I wish this resource existed about six months ago when I was grasping the fundamentals of Transformers.
This is an automated message from the Librarian Bot. I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
- Breaking the Attention Bottleneck (2024)
- Skip-Layer Attention: Bridging Abstract and Detailed Dependencies in Transformers (2024)
- Exploring Advanced Large Language Models with LLMsuite (2024)
- Dissecting Multiplication in Transformers: Insights into LLMs (2024)
- Mechanistic Interpretation through Contextual Decomposition in Transformers (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout this Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment:
@librarian-bot
recommend
Great job and loved the visualisations, Can we have a setting to visualise our custom models?
Thanks for your interest in Transformer Explainer’s potential to support more models! The ManimML project from our group has been investigating how to enable ML developers more easily create animated visual explanations of ML concepts https://github.com/helblazer811/ManimML . Currently Transformer Explainer does not yet support similar capabilities, but that’s something on our long-term road map.
Nice visualization! It will be better if we can use it for custom models.
Thanks for your interest in Transformer Explainer’s potential to support more models! The ManimML project from our group has been investigating how to enable ML developers more easily create animated visual explanations of ML concepts https://github.com/helblazer811/ManimML . Currently Transformer Explainer does not yet support similar capabilities, but that’s something on our long-term road map.
Models citing this paper 0
No model linking this paper
Datasets citing this paper 0
No dataset linking this paper
Spaces citing this paper 0
No Space linking this paper