asher577/nla-warmstart-data

NLA warmstart data (Qwen3-8B, layer 24) Supervised-finetuning data for the two active natural-language-autoencoder (NLA) families. An NLA is an encoder/decoder pair over a language model's residual stream: a verbalizer (AV) turns one activation vector into English, and a reconstructor (AR) maps that English back to the activation. These are the warmstart sets the AV and AR are trained on before RL. Companion weights (public, ungated): asher577/nla-warmstarts ·… See the full description on the dataset page: https://huggingface.co/datasets/asher577/nla-warmstart-data.