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Using GPT-N to Solve Interpretability of Neural Networks: A Research Agenda

📅 2020
public awareness
⚪ Common
#ai #gpt #interpretability (ml & ai) #machine learning (ml) #research agendas

📖 Description

Tl;dr We are attempting to make neural networks (NN) modular, have GPT-N interpret each module for us, in order to catch mesa-alignment and inner-alignment failures.

📊 Game Impacts

Variable Change Condition
Research +5 Always
Vibey Doom +2 Always
Ethics Risk -5 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Useful research for the community"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Discussed in AI safety community"
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🔗 Sources

🏷️ Event Metadata

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📁 Category Public Awareness → Suggest different category
⭐ Rarity ⚪ Common → Suggest different rarity
🏷️ Tags (5) ai, gpt, interpretability (ml & ai), machine learning (ml), research agendas → 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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