🚀 Read this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: ━━━━━━━━━━━━━━━━━━━━━━━━━━━ Attention Residuals ━━━━━━━━━━━━━━━━━━━━━━━━━━━ Paper | arXiv | Overview | Results | Citation (a) Standard residuals with uniform additive accumulation. (b) Full AttnRes: each layer attends over all previous outputs. (c) Block AttnRes: layers are grouped into blocks, reducing memory from O(Ld) to O(Nd). This is the official repository for Attention Residuals (AttnRes), a drop-in replacement for standard residual connections in Transformers that enables each layer to selectively aggregate earlier representations via learned, input-dependent attention over depth. Standard residual connections accumulate all layer outputs with…
