📜

A Longlist of Theories of Impact for Interpretability

📅 2022
policy development
🔵 Rare
#ai #interpretability (ml & ai)

📖 Description

I hear a lot of different arguments floating around for exactly how mechanistically interpretability research will reduce x-risk. As an interpretability researcher, forming clearer thoughts on this is pretty important to me! As a preliminary step, I've compiled a list with a longlist of 19 different arguments I've heard for why interpretability matters. These are pretty scattered and early stage thoughts (and emphatically my personal opinion than the official opinion of Anthropic!), but I'm sharing them in the hopes that this is interesting to people

📊 Game Impacts

Variable Change Condition
Research +5 Always
Vibey Doom +5 Always
Ethics Risk -5 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Important work advancing our understanding of AI safety"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Discussed in AI safety community"
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🔗 Sources

🏷️ Event Metadata

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📁 Category Policy Development → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (2) ai, interpretability (ml & ai) → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact No direct impact → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

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