dron @_dron_h
math/music/ai nerd | research @GoodfireAI | prev cambridge, bair, polaris | giving a semantics to the syntax garden.dronhazra.com Joined April 2019-
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has been and will continue to be a fun and fruitful partnership!
has been and will continue to be a fun and fruitful partnership!
We're excited to announce a collaboration with @MayoClinic! We're working to improve personalized patient outcomes by extracting richer, more reliable signals from genomic & digital pathology models. That could mean novel biomarkers, personalized diagnostics, & more.
During my summer at Goodfire, I ended up thinking a bit about sparse autoencoder scaling laws, and whether the existence of "feature manifolds" could impact SAE scaling behavior, with @livgorton and @banburismus_ 🙏: arxiv.org/abs/2509.02565
During my summer at Goodfire, I ended up thinking a bit about sparse autoencoder scaling laws, and whether the existence of "feature manifolds" could impact SAE scaling behavior, with @livgorton and @banburismus_ 🙏: arxiv.org/abs/2509.02565
Excited to share our work digging into how Evo 2 represents species relatedness or phylogeny. Genetics provides a good quantitative measure of relatedness, so we could use it to probe the model and see if its internal geometry reflects it.
Excited to share our work digging into how Evo 2 represents species relatedness or phylogeny. Genetics provides a good quantitative measure of relatedness, so we could use it to probe the model and see if its internal geometry reflects it.
i saw early versions of this work when i was still in school and it made waiting to join this team very difficult... very cool results! @_MichaelPearce
i saw early versions of this work when i was still in school and it made waiting to join this team very difficult... very cool results! @_MichaelPearce
Arc Institute trained their foundation model Evo 2 on DNA from all domains of life. What has it learned about the natural world? Our new research finds that it represents the tree of life, spanning thousands of species, as a curved manifold in its neuronal activations. (1/8)
What if adversarial examples aren't a bug, but a direct consequence of how neural networks process information? We've found evidence that superposition – the way networks represent many more features than they have neurons – might cause adversarial examples.
New research! Post-training often causes weird, unwanted behaviors that are hard to catch before deployment because they only crop up rarely - then are found by bewildered users. How can we find these efficiently? (1/7)
Could we tell if gpt-oss was memorizing its training data? I.e., points where it’s reasoning vs reciting? We took a quick look at the curvature of the loss landscape of the 20B model to understand memorization and what’s happening internally during reasoning
heck of a first week
heck of a first week
Some neat results from hacking on gpt-oss at the Goodfire internal hackathon this week: 1. MoE experts are... actually experts? 2. The model seems to know which experts it's going to use for a token from the very first layer of the model. Here we see the "business expert":
if you really understand a neural network you should be able to explain and edit anything in the model by directly manipulating the activation tensor. we made a demo of this with diffusion models
if you really understand a neural network you should be able to explain and edit anything in the model by directly manipulating the activation tensor. we made a demo of this with diffusion models
We created a canvas that plugs into an image model’s brain. You can use it to generate images in real-time by painting with the latent concepts the model has learned. Try out Paint with Ember for yourself 👇
We're publishing new queryable datasets to help researchers explore interpretable features in DeepSeek R1.
i've added a little more to our recent deepseek r1 SAE launch :)
i've added a little more to our recent deepseek r1 SAE launch :)
Today, we're announcing our $50M Series A and sharing a preview of Ember - a universal neural programming platform that gives direct, programmable access to any AI model's internal thoughts.
I've got some big personal news: I'm joining @GoodfireAI to lead a fundamental interpretability research team in London! This has been a while coming /n
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