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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26430
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MODEL
2-mlp-sm
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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__mlp-sm_processed/2-mlp-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_mlp_out
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-mlp-sm/26430?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
156
+0.24
1.4%
470
+0.14
0.8%
264
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
470
+0.24
0.14
70
+0.14
0.04
390
+0.12
0.03
Negative Logits
ĸ
-2.44
ĵ
-2.44
¥
-2.40
¯
-2.34
§
-2.34
ķ
-2.32
¿½
-2.32
Ĥ¬
-2.32
Ĺ
-2.31
¢
-2.28
POSITIVE LOGITS
.[]{
1.80
)](
1.71
[]{
1.67
ðŁĻĤ
1.58
).](
1.58
&
1.54
$.[]{
1.50
%),
1.45
together
1.40
)$-
1.35
Act
ivations
Density 2.584%
Stacked
Snippet
Full
Show Raw Tokens
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No Known Activations