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Kent: 'we have the memory to just take the big hammer approach'. Uncap k so each story's V_i spans its entire token-activation rowspace (clamped to min(n_tokens, hidden)). Memory is ~1.1GB total — fine. Co-Authored-By: Proof of Concept <poc@bcachefs.org> |
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| .. | ||
| amygdala_stories | ||
| amygdala_training | ||
| apollo_plugin | ||
| research | ||
| DESIGN.md | ||
| pyproject.toml | ||