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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28606
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0-mlp-sm
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references to books or related literature
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__mlp-sm_processed/0-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.0.hook_mlp_out
Hook Layer
0
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
376
+0.17
1.0%
249
+0.13
0.7%
410
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
249
+0.17
0.01
26
+0.13
0.01
481
+0.11
0.01
Negative Logits
ĥ½
-2.15
©
-2.08
§
-1.90
ı
-1.83
Īĺ
-1.83
Ĵ
-1.78
ĵ
-1.76
·
-1.74
finding
-1.72
ĺ
-1.69
POSITIVE LOGITS
helf
2.29
cule
2.00
ociety
1.79
ist
1.79
ios
1.77
ista
1.76
aho
1.75
istic
1.69
ious
1.68
eful
1.67
Act
ivations
Density 0.012%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations