Shreyans Jain

Welcome to my anxious world.
i am shreyans.
i studied civil engineering in undergrad, and learned ML and programming afterwards alongside my job solely due to my interest in maths and problem solving.
my aim is to work full time on ML interpretability research because personally, i would like to understand more about whats going under the hood of a complex AI system responsible for deciding whether its a dog or a cat or what word i should be typing next. in addition, my interest lies in reinforcement learning, ai ethics as well so i try to keep myself up to date on these topics too.
as of june 1st, i’ve been on a career break from my full time Applied ML job and working independently on interpretability research projects. During this time:
- worked on creating an open source package for visualizing the training dynamics and latent states of a neural network as an independent contributor along with a team from NYU. our blogpost on this was accepted for a poster in ICLR 2025.
- published my analysis on effects of non-uniform sparsity in toy models
- attended AISF Alignment Cohort by Bluedot and published my analysis on feature geometry in toy models
- currently working on relational composition in large language models, you can follow my experiments here
i’m open to full-time/part-time/internship opportunities or collaborations around interpretability research. you can reach out to me at jshrey8@gmail.com
when i’m not working i’m probably thinking about how i can improve my strength & form in pull-ups and dreaming about muscle ups 🏋️ or learning about the Xs and Os of basketball. i occasionally pick up a book (mainly it’s on my kindle :P) too trying to learn more about indian history, world history but won’t shy away from a good fiction (sci fi preferred) or some new topic that looks interesting to me.
latest posts
Jan 28, 2025 | Feature Geometry in Toy Models - Pentagon vs Hexagon |
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Nov 19, 2024 | Effects of Non-Uniform Sparsity on Superposition in Toy Models |
Oct 08, 2024 | Myth of 'Are you Doing Enough?' |