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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
14050
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MODEL
4-res-sm
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oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__res-sm_processed/4-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.4.hook_resid_post
Hook Layer
4
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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https://www.neuronpedia.org/pythia-70m-deduped/4-res-sm/14050?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
21
+0.16
0.9%
255
+0.13
0.7%
315
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
386
+0.16
0.02
255
+0.13
-0.01
410
+0.13
0.04
Negative Logits
s
-2.05
sburg
-1.84
tet
-1.83
resis
-1.59
namespace
-1.53
going
-1.52
same
-1.46
hire
-1.45
equation
-1.45
pta
-1.44
POSITIVE LOGITS
į
3.91
¿
3.82
¾
3.79
Į
3.73
ĥ
3.71
Ļ
3.63
Ĩ
3.49
Ł
3.48
¥
3.46
ĩ
3.43
Act
ivations
Density 0.586%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations