https://www.jonvet.com/blog/llm-transcoder-and-saes
Cross-Layer Transcoders and Sparse Autoencoders
sparse autoencoderscrosslayer
https://ui.adsabs.harvard.edu/abs/2025arXiv250817320Y/abstract
AdaptiveK Sparse Autoencoders: Dynamic Sparsity Allocation for Interpretable LLM Representations -...
Understanding the internal representations of large language models (LLMs) remains a central challenge for interpretability research. Sparse autoencoders...
sparse autoencodersdynamicllm
https://towardsdatascience.com/deep-dive-into-anthropics-sparse-autoencoders-by-hand-%ef%b8%8f-eebe0ef59709/
Deep Dive into Anthropic's Sparse Autoencoders by Hand ✍️ | Towards Data Science
Jan 13, 2025 - Explore the concepts behind the interpretability quest for LLMs
deep divesparse autoencoders
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https://arize.com/blog/llm-interpretability-and-sparse-autoencoders-openai-anthropic/
LLM Interpretability and Sparse Autoencoders: Research from OpenAI and Anthropic - Arize AI
Sep 17, 2024 - Breaking down two papers that focus on the sparse autoencoder--an unsupervised approach for extracting interpretable features from an LLM.
sparse autoencodersllmopenai
https://towardsdatascience.com/neuro-symbolic-systems-the-art-of-compromise-2/
Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine...
Dec 10, 2025 - Neural and symbolic models compress the world in fundamentally different ways, and Sparse Autoencoders (SAEs) offer a bridge to connect them.
neural networksblurrysymbolic