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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23259
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MODEL
2-mlp-sm
Source/SAE
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Explanations
instances of legal terminology and phrasing related to court cases
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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
480
+0.14
0.8%
342
+0.13
0.7%
416
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
253
+0.14
0.04
232
+0.13
0.09
348
+0.13
-0.01
Negative Logits
hereinafter
-1.72
—
-1.53
(),
-1.50
whose
-1.49
-âĤ¬
-1.48
ÂŃ
-1.47
amid
-1.47
encl
-1.47
hence
-1.46
thus
-1.46
POSITIVE LOGITS
ĻĤ
2.80
º
2.31
ĸ´
2.24
crap
2.15
©
2.09
±
1.98
Īĺ
1.97
ı
1.90
²
1.87
¹
1.82
Act
ivations
Density 2.297%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations