Mathilde Papillon🦋 mathildepapillon .bsky .social
418 posts

Mathilde Papillon🦋 mathildepapillon .bsky .social
@mathildepapillo
Non-Euclidean + Interpretable AI PhD-ing @Geometric_Intel @UCSBPhysics Fellow @GoodfireAI Prev. @Dodgers⚾️ @McGillUPhysics BlueSky: @mathildepapillon



If models think in shapes, our tools should too. Our latest research: Block-Sparse Featurizers (BSFs), a new way to find concepts in model activations - using multidimensional “blocks” instead of single directions. (1/9)

If models think in shapes, our tools should too. Our latest research: Block-Sparse Featurizers (BSFs), a new way to find concepts in model activations - using multidimensional “blocks” instead of single directions. (1/9)


The broader point: a featurizer is a hypothesis about how a model’s representations are structured. We think this is a step forward in tools reflecting that. Paper, code, and full post: goodfire.ai/research/bsf-v…

If models think in shapes, our tools should too. Our latest research: Block-Sparse Featurizers (BSFs), a new way to find concepts in model activations - using multidimensional “blocks” instead of single directions. (1/9)


If models think in shapes, our tools should too. Our latest research: Block-Sparse Featurizers (BSFs), a new way to find concepts in model activations - using multidimensional “blocks” instead of single directions. (1/9)

Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵

Join us in congratulating the 17 SIAM prize recipients who will be honored at #SIAMAN26, July 6–10 in Cleveland! 👏 🔗 Read more about each recipient: siam.org/publications/s… 📅 View the conference program: meetings.siam.org/program.cfm?CO… #SIAMED26 #SIAMLS26 #SIAMMPE26



Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵

Honored to be featured in @ucsantabarbara newsletter with my research and an international award For years I wasn’t sure my research counted as physics. It apparently does! The questions define us. Read the questions that shaped my career! news.ucsb.edu/2026/022632/ne…



How are scientists mapping consciousness? Could geometry hold the key? Claire Isabel Webb, director of the Future Humans program at the @berggruenInst, asks @NinaMiolane of the UCSB Geometric Intelligence Lab. Watch the full episode here: na2.hubs.ly/H068tRX0

🏆 The 2026 Topological Deep Learning Challenge is officially live, now in its 4th edition! 🏆 This year’s theme is “Bridging the Gap” between the GNN and TDL worlds. Win incredible prizes including up to $1000 in cash 💸 and AI research internships! Submission deadline: Aug. 1


