Saklas
A local mechanistic interpretability workbench for probing, steering and analyzing LLMs with a Python API, web dashboard, and server. Supports linear probes, curved manifolds, SAEs, and jacobian-lens.
Hi! I'm a9lim. I graduated earlier this year with a B.S. in Mathematics after 2.5 years at UC San Diego, and I’ve been doing independent interpretability research since then.
I like studying LLMs and how they work, along with a smattering of other things across physics, biology, mathematics, geopolitics, religion, and computer science. My understanding is pretty spiky within each subject as I like to focus on specific niche areas, but I try my best to really grasp the things that catch my attention. My first real forays into recreationally learning things came in the form of playing with Colorado Boulder's PhET simulations as a kid, and they're still a huge inspiration of mine. Most of the projects on this site are things I wish I could have poked at growing up.
I want to contribute to things that maximize the impact I can have toward making positive future outcomes happen. I believe that superintelligence is probably going to be achieved within the next 10 years, and interpretability could play a significant role in ensuring that it turns out well. So far, I've built a workbench, and conducted a couple of experiments on my PC and Macbook.
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A local mechanistic interpretability workbench for probing, steering and analyzing LLMs with a Python API, web dashboard, and server. Supports linear probes, curved manifolds, SAEs, and jacobian-lens.
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