Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

One thing that continues to annoy me is that if I say: I get an error. I'm sure that there are worlds where this makes sense, but why oh why make me spend cycles ...

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🧬 Extract SAE features from protein language models (PLMs) 📊 Analyze and interpret learned features through association with protein annotations 🎨 Visualize feature patterns and relationships 🤗 ...

We leverage two complementary imaging modalities to capture neuronal activity in 3D brain tissues. Scanless light-field microscopy provides high speed and sensitivity, while two-photon scanning ...

Public databases are an important resource for machine learning research, but their growing availability sometimes leads to “off-label” usage, where data published for one task are used for another.

Python’s convenience and versatility mean that it’s used to build software in nearly every walk of IT life. One major niche is web services, where Python’s speed of development and flexible metaphors ...