🛠 Visualizing LLM "Thoughts" via the Subtext Project
Subtext has been introduced, a tool that allows real-time observation of concept formation within the hidden layers of language models. Using the Jacobian lens method (developed by Anthropic), the system displays the model's intermediate "thoughts" before they are output as a text response.
🌍 The project demonstrates the practical application of mechanistic interpretability methods for monitoring the reasoning process, which is critical for understanding the causes of errors and planning mechanisms.
👤 It is now possible to see the "behind the scenes" of AI operations — how the model plans its response, forms judgments, and maintains context before it even prints the first word.
Source 1: https://github.com/ninjahawk/Subtext