Mech Interp

mechanistic interpretability, circuits, superposition, feature visualization, AI interpretability

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Scoured 53 posts in 4.6 ms

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability

 🔍Interpretability  Content type: Academic
arxiv.org·

Mechanistic Interpretability: The Key to Trusting Agentic AI

 🔍Interpretability  Content type: Discussion
bradenkelley.com·

[Paper] Dictionary Learning Identifiability for Understanding SAEs

 🔍Interpretability
lesswrong.com·

Compositional and interpretable representation of histology using AI foundation models and sparse autoencoders

 🔍Interpretability  Content type: Academic
biorxiv.org·

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations

 🔍Interpretability  Content type: Academic
arxiv.org·

Playing with Vision Embeddings

 🔍Interpretability

Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects

 🔍Interpretability  Content type: Academic
arxiv.org·

Interactions Between Crosscoder Features: A Compact Proofs Perspective

 🔍Interpretability  Content type: Academic
arxiv.org·

A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders

 🔍Interpretability  Content type: Academic
arxiv.org·
Less-relevant results

BioByte 162: The Hype of Virtual Cells, ESMC's AlphaFold3-Like Performance, and the Prediction of Antibody Non-Specificity

 🔍Interpretability  Content type: Blog

Is the Space Pope Reptilian?

 🛡️AI Safety  Content type: News
tearsinrain.ai··Hacker News

Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers

 🔍Interpretability  Content type: Academic
arxiv.org·

SAE It Across Models: Explaining Features With Foreign NLA Verbalizers

 🔍Interpretability
lesswrong.com·

VFUSE: Virulent Feature Understanding with Sparse autoEncoders

 🔍Interpretability  Content type: Academic
arxiv.org·

Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders

 🔍Interpretability  Content type: Academic
arxiv.org·

Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects

 🔍Interpretability  Content type: Academic
arxiv.org·

Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models

 🔍Interpretability  Content type: Academic
arxiv.org·

When Attribution Patching Lies: Diagnosis and a Second-Order Correction

 🔍Interpretability  Content type: Academic
arxiv.org·

scMTG reconstructs single-cell temporal dynamics with Markov transition generators

 🔍Interpretability  Content type: Academic
biorxiv.org·

Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes

 🔍Interpretability  Content type: Academic
arxiv.org·

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