AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders Paper • 2501.17148 • Published Jan 28, 2025 • 2
Interpretable AI for Scientific Discovery Collection Develop interpretable methods that connect model decisions to scientifically meaningful spatial, spectral, and molecular structure. • 3 items • Updated 4 days ago • 1
Faithful Representations and Mechanistic Interpretability Collection Understand feature representations and how those representations support faithful explanations and interventions. • 3 items • Updated 4 days ago • 1
SAE Benchmarks, Datasets & Models Collection Benchmarks, datasets, and pretrained models for reproducible sparse autoencoder research, feature interventions, and mechanistic interpretability. • 11 items • Updated 14 days ago • 1
Behavioral Compositionality of SAE Representations Collection Research, benchmarks, and tools for measuring how sparse autoencoder features interact to shape model behavior. • 2 items • Updated 14 days ago • 1
Behavioral Compositionality of Sparse Autoencoder Representations Paper • 2610.21261 • Published 19 days ago • 26
view article Article Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline nvidia • 18 days ago • 50