4 papers
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
Adly Templeton, Tom Conerly, Jonathan Marcus +23
We demonstrate that sparse autoencoders can extract interpretable features from Claude 3 Sonnet, a production-scale language model, addressing the open question of whether dictiona…
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Kisuk Lee, Nicholas Turner, Thomas Macrina +3
Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy. Image analysis has been performed by manual labor for half a century, and eff…
Synaptic Partner Assignment Using Attentional Voxel Association Networks
Nicholas Turner, Kisuk Lee, Ran Lu +3
Connectomics aims to recover a complete set of synaptic connections within a dataset imaged by volume electron microscopy. Many systems have been proposed for locating synapses, an…
Reconstructing neuronal anatomy from whole-brain images
James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan +5
Reconstructing multiple molecularly defined neurons from individual brains and across multiple brain regions can reveal organizational principles of the nervous system. However, hi…