Tag: Sparse Autoencoders
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Weisfeiler-Lehman Graph Analysis of Sparse Autoencoder Features
Discover how Weisfeiler-Lehman graph kernels reveal structural patterns in sparse autoencoder features for improved AI interpretability.
Do Sparse Autoencoders Effectively Capture Concept Manifolds?
Explore how sparse autoencoders capture concept manifolds and the implications for representation learning and AI interpretability.
Domain-Filtered Knowledge Graphs from Sparse Autoencoder Features
Discover how domain-filtered knowledge graphs enhance interpretability of sparse autoencoder features for better AI insights and applications.
Mechanistic Interpretability of Antibody Language Models with SAEs
Explore how Sparse Autoencoders enhance mechanistic interpretability in antibody language models, aiding therapeutic antibody design and optimization.
Enhancing LLM Security with Sparse Autoencoders
Discover how integrating Sparse Autoencoders boosts Large Language Models' robustness, reducing jailbreak attacks by up to 5x without altering weights.