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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
11907
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MODEL
2-res-sm
Source/SAE
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Explanations
numerical data and parameters related to data handling or programming contexts
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__res-sm_processed/2-res-sm
How To Load
Prompts (Dashboard)
32,768 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
32,768
Data Type
torch.float32
Hook Name
blocks.2.hook_resid_post
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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https://www.neuronpedia.org/pythia-70m-deduped/2-res-sm/11907?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
161
+0.19
1.1%
369
+0.16
1.0%
17
+0.15
0.9%
Correlated Neurons
Index
P. Corr.
Cos Sim.
161
+0.19
0.07
143
+0.16
0.09
121
+0.15
0.09
Negative Logits
(@
-1.51
)."
-1.38
."[
-1.33
ainer
-1.31
icator
-1.30
ivist
-1.29
.^[@
-1.27
ichte
-1.27
]{}]{}
-1.26
ale
-1.26
POSITIVE LOGITS
ĥ½
2.07
ĸ´
1.94
ģ
1.83
ī
1.71
»¿
1.71
¤
1.68
Ĥ¬
1.64
Ĺ
1.64
±
1.62
¾
1.55
Act
ivations
Density 4.871%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations