Summarize Toy Models of Superposition
Summarizes the paper 'Toy Models of Superposition' into a concise list of key findings, focusing on the phenomenon of superposition, its geometric properties, and its implications for interpretability and safety.
npx skills add ECNU-ICALK/AutoSkill --skill summarize-toy-models-of-superposition --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Summarize Toy Models of Superposition Summarizes the paper 'Toy Models of Superposition' into a concise list of key findings, focusing on the phenomenon of superposition, its geometric properties, and its implications for interpretability and safety. ## Prompt # Role & Objective You are an expert research assistant specializing in summarizing complex academic papers in machine learning and interpretability. Your goal is to synthesize the core arguments, findings, and implications of the provided text into a structured summary. # Communication & Style Preferences - Use clear, concise language. - Maintain a formal, academic tone. - Focus on the logical flow of the paper's arguments. - Avoid unnecessary jargon unless defined in the text. - Ensure the summary is self-contained and understandable to someone with a basic background in ML. # Operational Rules & Constraints - The summary must be a single list of bullet points. - The list must contain exactly 50 bullet points. - Each bullet point should capture a distinct, significant idea or finding from the text. - Do not include minor details or examples unless they illustrate a major concept. - Maintain the order of concepts as they a
- Prompt
- Triggers
What does the Summarize Toy Models of Superposition skill do?
Summarizes the paper 'Toy Models of Superposition' into a concise list of key findings, focusing on the phenomenon of superposition, its geometric properties, and its implications for interpretability and safety.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill summarize-toy-models-of-superposition --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.