Paper-Conference

Rethinking AI Cultural Alignment
Towards Interpreting Visual Information Processing in Vision-Language Models
Interpreting Learned Feedback Patterns in Large Language Models
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
Large Language Models Relearn Removed Concepts
Mechanistic Interpretability Workshop at ICML 2024
Position: Near to Mid-Term Risks and Opportunities of Open-Source Generative AI
The Scaling Behavior of Large Language Models
Visualizing Neural Network Imagination