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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30359
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MODEL
0-mlp-sm
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Explanations
instances of the word "component" in the text
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/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
245
+0.10
0.6%
452
+0.10
0.6%
117
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
452
+0.10
0.01
117
+0.10
0.01
448
+0.10
0.01
Negative Logits
Ĥ¬
-3.63
³
-3.07
ĨĴ
-3.06
·
-3.00
ĥ½
-2.98
Ń
-2.94
ľ
-2.93
ĻĤ
-2.83
²
-2.80
´
-2.79
POSITIVE LOGITS
cias
1.81
ball
1.77
edly
1.72
etes
1.71
bol
1.66
folio
1.66
ellar
1.65
plates
1.63
igue
1.62
nell
1.60
Act
ivations
Density 0.043%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations