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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
11534
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MODEL
2-res-sm
Source/SAE
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Explanations
data types and structures commonly used in programming, particularly in relation to arrays and numerical values
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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<iframe src=https://www.neuronpedia.org/pythia-70m-deduped/2-res-sm/11534?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/pythia-70m-deduped/2-res-sm/11534?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
419
+0.15
0.8%
427
+0.15
0.8%
159
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
0
+0.15
0.13
427
+0.15
0.10
216
+0.12
0.16
Negative Logits
etter
-1.53
umi
-1.50
onomy
-1.48
"}](#
-1.46
etting
-1.43
sa
-1.43
ighters
-1.42
avor
-1.41
ild
-1.40
ensit
-1.38
POSITIVE LOGITS
Ŀ
2.70
µ
2.63
²
2.59
¸
2.58
Ī
2.56
¿
2.54
Į
2.53
ķ
2.51
ģ
2.50
ĥ½
2.50
Act
ivations
Density 5.819%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations