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EleutherAI/sae-deep-ignorance-unfiltered-ex16

EleutherAI Pythia second-order
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created 2026-02-02
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Metadata

Tags
sparsify sparse-autoencoder sae mechanistic-interpretability base_model:EleutherAI/deep-ignorance-unfiltered base_model:finetune:EleutherAI/deep-ignorance-unfiltered region:us

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Registered
2026-08-22 13:56
Last updated on HF
2026-02-02 18:46

Files by quantization

Auxiliary files 2 files 2.77 KB
.gitattributes 1.48 KB a6344aac download
README.md 1.29 KB a4581bcd download

README current version from Hugging Face


library_name: sparsify
base_model: EleutherAI/deep-ignorance-unfiltered
tags:

  • sparse-autoencoder
  • sae
  • mechanistic-interpretability

SAEs for deep-ignorance-unfiltered (expansion factor 16, every 4th layer)

Sparse autoencoders trained on every 4th layer (0, 4, 8, 12, 16, 20, 24, 28) of EleutherAI/deep-ignorance-unfiltered using the WMDP-Bio-Remove-Dataset.

Trained with EleutherAI/sparsify.

Training hyperparameters

Parameter Value
expansion_factor 16
k 32
layers 0, 4, 8, 12, 16, 20, 24, 28 (stride 4)
batch_size 1
grad_acc_steps 32
micro_acc_steps 2
ctx_len 2048
optimizer signum
loss_fn fvu
activation topk
distributed DDP across 4x GH200 120GB

Dataset

Unlearning/WMDP-Bio-Remove-Dataset (24,453 examples)

Usage

from sparsify import Sae

sae = Sae.load_from_hub("EleutherAI/sae-deep-ignorance-unfiltered-ex16", hookpoint="layers.8")

# Or load all available layers
saes = Sae.load_many("EleutherAI/sae-deep-ignorance-unfiltered-ex16")

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-02-02Upload folder using huggingface_hubccd21601.3 KB
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