Lee Sharkey
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Lee Sharkey trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kunihiko Fukushima (in Model Architectures)
- Georgios Georgiadis (in Artificial Intelligence)
Papers from Lee Sharkey's perspective
Ordered by how strongly the researchers Lee Sharkey trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient sparse coding algorithms
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
- Toy Models of Superposition (arXiv.org)
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
- Investigating Gender Bias in Language Models Using Causal Mediation Analysis
- An Overview of Catastrophic AI Risks
- Zoom In: An Introduction to Circuits
- Adaptively Sparse Transformers
- LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
- Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small (International Conference on Learning Representations)
Their papers
- Sparse Autoencoders Find Highly Interpretable Features in Language Models (2023) — 1,374 citations