Mech Interp

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Scoured 52 posts in 6.9 ms

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability

馃攳InterpretabilityContent type: Academic
arxiv.org

Mechanistic Interpretability: The Key to Trusting Agentic AI

馃攳InterpretabilityContent type: Discussion
bradenkelley.com

[Paper] Dictionary Learning Identifiability for Understanding SAEs

馃攳Interpretability
lesswrong.com

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

馃攳InterpretabilityContent type: Academic
biorxiv.org

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations

馃攳InterpretabilityContent type: Academic
arxiv.org

Playing with Vision Embeddings

馃攳Interpretability

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

馃攳InterpretabilityContent type: Academic
arxiv.org

Interactions Between Crosscoder Features: A Compact Proofs Perspective

馃攳InterpretabilityContent type: Academic
arxiv.org

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

馃攳InterpretabilityContent 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

馃攳InterpretabilityContent type: Blog

VFUSE: Virulent Feature Understanding with Sparse autoEncoders

馃攳InterpretabilityContent type: Academic
arxiv.org

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

馃攳InterpretabilityContent type: Academic
arxiv.org

SAE It Across Models: Explaining Features With Foreign NLA Verbalizers

馃攳Interpretability
lesswrong.com

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

馃攳InterpretabilityContent type: Academic
arxiv.org

Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects

馃攳InterpretabilityContent type: Academic
arxiv.org

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

馃攳InterpretabilityContent type: Academic
arxiv.org

Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models

馃攳InterpretabilityContent type: Academic
arxiv.org

scMTG reconstructs single-cell temporal dynamics with Markov transition generators

馃攳InterpretabilityContent type: Academic
biorxiv.org

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

馃攳InterpretabilityContent type: Academic
arxiv.org

SAEExplainer: Interpreting SAE Features with Activation-Guided Preference Optimization

馃攳InterpretabilityContent type: Academic
arxiv.org

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