Co-occurring keywords · papers mentioning both
Papers
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
ACL 2025
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning
NAACL 2025
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
ICML 2025
Group-SAE: Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups
EMNLP 2025
How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders
EMNLP 2025
Improving LLM Reasoning through Interpretable Role-Playing Steering
EMNLP 2025
Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models
NAACL 2025
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
ICML 2025
Interpretable Company Similarity with Sparse Autoencoders
ACL 2025
Interpretable Sparse Features for Probing Self-Supervised Speech Models
IJCNLP 2025
Interpret and Control Dense Retrieval with Sparse Latent Features
NAACL 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
ICML 2025
Interpreting Language Models Through Concept Descriptions: A Survey
EMNLP 2025
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
NAACL 2025
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
ICCV 2025
Latent Inter-User Difference Modeling for LLM Personalization
EMNLP 2025
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
ICML 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
EMNLP 2025
Low-Rank Adapting Models for Sparse Autoencoders
ICML 2025
Mechanistic Permutability: Match Features Across Layers
ICLR 2025
MIB: A Mechanistic Interpretability Benchmark
ICML 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing
EMNLP 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
EMNLP 2025
Not All Language Model Features Are One-Dimensionally Linear
ICLR 2025
On the Versatility of Sparse Autoencoders for In-Context Learning
EMNLP 2025