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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24247
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MODEL
2-mlp-sm
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Explanations
references to academic papers and their citation details
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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Neuron Alignment
Index
Value
% of L₁
156
+0.14
0.8%
352
+0.13
0.7%
149
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
77
+0.14
0.04
207
+0.13
0.05
400
+0.13
0.04
Negative Logits
¢
-2.90
ij
-2.71
º
-2.69
Ń
-2.68
§
-2.65
İ
-2.65
·
-2.65
¾
-2.64
Į
-2.60
£
-2.54
POSITIVE LOGITS
INGTON
1.66
Synd
1.57
BY
1.53
Bundle
1.44
downs
1.43
ruption
1.38
ransom
1.35
seys
1.33
xico
1.31
innati
1.29
Act
ivations
Density 0.646%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations