Mechanistic interpretability streamlined for everyday users like us😎 🧠

Context: I want to give the community an Open Research (well open under Apache 2.0 clause) - tool that allows everyday users like us to look deeper into the local models we use consistently. Mechanistic interpretability streamlined into a more visible work-flow. Easy to read for beginners and deeper for experts. Originally designed around the GPT2 and Llama architectures, it supports most local LLMs at - at least tier 1 generation observation (i am one person so please dont @ me if your model isnt supported tho😆. I will keep adding support as we go haha) 🫪🧠 This tool is called "CORTEX // MODEL OBSERVATORY" and i do want to clarify that is Ai assisted in creation, otherwise i would have needed an entire research department😭😂 If you're obsessed with how Ai works, feel free to mess around with the application, add your own additions/support or integrations. I want to help the community learn more - together. As always, feel free to break this thing as hard as you can so i can keep making it better and more reliable for everyone, including Ai researchers. It is available on GitHub now for everyone to use 😀 https://github.com/TurboDash99/Cortex submitted by /u/JayB_Official [link] [comments]

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Source: r/LocalLLaMA | 2026-07-30