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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23150
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MODEL
2-mlp-sm
Source/SAE
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Explanations
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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
489
+0.15
0.8%
364
+0.10
0.5%
16
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
489
+0.15
0.04
112
+0.10
0.04
268
+0.10
0.04
Negative Logits
,&
-1.90
izoph
-1.61
iler
-1.59
ón
-1.58
blogger
-1.51
urope
-1.51
ender
-1.48
onica
-1.48
obl
-1.48
onel
-1.45
POSITIVE LOGITS
ĩ
2.53
»
2.37
³
2.30
ij
2.17
¯
2.17
Ĺ
2.17
į
2.12
ĭ
2.08
ħ
2.04
²
2.03
Act
ivations
Density 0.121%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations