Stephen Elliott

Stephen Elliott

Independent Researcher and Convenor of Gigascale Labs

Posts by Tags

LLM

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

MRI

activations

agentic ai

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

agents

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

anthropic

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

artificial intelligence

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

chain of thought

chatgpt

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

circuit tracing

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

circuits

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

claude

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

claude-haiku

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

computer science

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

data science

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

dynamical systems

dynamical systems theory

fMRI

game theory

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

hypothesis

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

interpretability

mechanistic interpretability

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

metacognition

methodology

multi-agent systems

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

neural population dynamics

neurology

neuroscience

reasoning

research

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

research methods

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

science

technology

Paper Notes: Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023)

4 minute read

Published:

Welcome to Paper Notes, where we record our groups’ weekly discussions of innovative papers from across artificial intelligence. On Tuesday the 21st of October, our mathematics reading group read Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs, published in MDPI Electronics in 2023. The authors come from a collection of three universities and a lab, across Spain and Germany.

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.

Paper notes: On the Biology of a Large Language Model (Lindsey et al., 2025)

2 minute read

Published:

Last week, Deep Network’s reading group read On the Biology of a Large Language Model. The research team comes from Anthropic’s interpretability research group, and was published in the Transformer Circuits interactive research thread as well as on the Anthropic website.

transformer

Paper notes: A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025)

1 minute read

Published:

On Friday the 5th of September, the general reading group continued its mechanistic interpretability sprint with A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. The research team comes from across several US universities, with one member from Salesforce Research. Its lead author is a PhD student, and its second author a PhD working in industry. The survey was posted on arXiv and presented as a tutorial at ICML 2025.