

LLM Transparency Tool
Overview :
The LLM Transparency Tool (LLM-TT) is an open-source, interactive toolkit for analyzing the inner workings of Transformer-based language models. It allows users to select a model, add prompts, and run inference, visualizing the model's attention flow and information transfer paths. This tool aims to increase model transparency, helping researchers and developers better understand and improve language models.
Target Users :
For researchers and developers to analyze and understand language models
Use Cases
Researchers use LLM-TT to analyze the attention distribution of a specific language model.
Developers use LLM-TT to fine-tune model parameters to improve performance.
Educators use LLM-TT to demonstrate how language models work to students.
Features
Select a model and prompt for inference
Browse the contribution graph
Select tokens to build charts
Adjust the contribution threshold
Select any token's representation after any block
View the representations in the output vocabulary and which tokens in the previous block were boosted/suppressed
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