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SOTA Sparse Autoencoding benchmarks and papers with code | Wizwand
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Sparse Autoencoding
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
Pythia-70M layer 3
Dense-SAE
Relative Error
0.342
13
22d ago
Pythia-70M residual-stream activations 5,000-token (test)
Expander-SAE
Relative Error
0.341
12
22d ago
Pythia-160M residual-stream activations 5,000-token (test)
Dense-SAE
Relative Error
0.332
8
22d ago
gemma2-2b-layer-13 activations
HSAE
L0
100.7
6
4mo ago
Gemma-2-2B activations (layer 20)
Matryoshka
KL Score
0.9727
5
25d ago
Llama-3.2-1B Layer 12 activations (held-out)
Dense-SAE
Relative Error
0.499
4
22d ago
Llama-3.2-1B Layer 6 activations (held-out)
Dense-SAE
Relative Error
56.8
4
22d ago
Qwen2.5-3B Layer 24 activations (held-out)
Dense-SAE
Relative Error
0.591
4
22d ago
Qwen2.5-3B Layer 12 activations (held-out)
Dense-SAE
Relative Error
48.9
4
22d ago
Pythia-160M Layer 8 activations (held-out)
Dense-SAE
Relative Reconstruction Error
0.332
4
22d ago
Pythia-70M Layer 3 activations (held-out)
Dense-SAE
Relative Error
0.342
4
22d ago
Gemma-2-2B (layer 12)
C²R
KL Score
0.9628
4
25d ago
DINOv2 ImageNet-1k Base (patch tokens)
iSAE-ME
MSE
0.191
4
1mo ago
Pythia activations (The Pile) 160M (layer 12)
iSAE-ME
MSE
0.148
4
1mo ago
Pythia 70M (layer-3 residuals)
AEN-SAE
Achieved L0
33.9
4
2mo ago
Mistral-7B activations
SASA
KL Score
95.3
2
1mo ago
GPT-2 activations
Standard SAE
KL Score
98
2
1mo ago
qwen3-4b layer-18 activations
Baseline
L0 Norm
50
2
4mo ago
gemma2-2b layer-20 activations
HSAE
L0 Norm
50
2
4mo ago
gemma2-2B-layer-6 activations
Baseline
L0 Norm
50
2
4mo ago
SlimPajama, Proprietary, and FineWeb-Edu
-
-
0
29d ago
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