Llama 3.3 70B Sparse Autoencoders with API access

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1. Llama 3.2 Interpretability with Sparse Autoencoders

   github.com

   A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

   HNHacker News579점

2. At 16K features

   github.com

   flat autoencoders break. Curved space doesn't

   HNHacker News10점

3. A fully open-source (Apache 2.0)implementation of llama

   github.com

   Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

   HNHacker News158점

4. Finetune Llama-3.1 2x faster in a Colab

   colab.research.google.com

   Just added Llama-3.1 support!

   HNHacker News16점

5. Incremental JSON parser for streaming LLM tool calls in Ruby

   aha.io

   Built this for streaming AI tool calls.

   HNHacker News13점