LOLAMEME Compares GPT-2, Hyena Hybrids
💡Hybrids beat GPT-2/Hyena on logic+memory; key insights for Mamba/StripedHyena design
⚡ 30-Second TL;DR
What Changed
THEX-12 scores 0.36 exact match vs Hyena 0.14, GPT-2 0.007 on global variables
Why It Matters
Informs hybrid architecture design for SSMs like Mamba/StripedHyena by showing attention-convolution synergies. Pushes mechanistic interpretability beyond toy tasks.
What To Do Next
Read the paper at https://arxiv.org/abs/2406.02592 and replicate THEX hybrid on your logic-memory benchmarks.
Key Points
- •THEX-12 scores 0.36 exact match vs Hyena 0.14, GPT-2 0.007 on global variables
- •THEX-13 achieves 0.738 on multi-language tasks vs Hyena 0.492, GPT-2 0.249
- •Hyena memorizes better at moderate scale but fails at 1000 variables
- •Optimal hybrid layer placement depends on task complexity
- •Custom langs test camelCase/snake_case, operators, latent types
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Original source: Reddit r/MachineLearning ↗
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