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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26907
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MODEL
0-mlp-sm
Source/SAE
INDEX
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Explanations
the frequency of "to" and "their" in directives or obligations
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
64
+0.14
0.8%
244
+0.11
0.6%
34
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
69
+0.14
0.37
151
+0.11
0.31
434
+0.10
0.29
Negative Logits
letons
-1.94
oath
-1.76
^**
-1.70
**^
-1.62
**(
-1.60
blogspot
-1.54
**.
-1.53
*>(
-1.50
"}](
-1.50
endl
-1.48
POSITIVE LOGITS
»
2.14
Ļª
1.95
¼
1.93
ĨĴ
1.92
ļ
1.90
·
1.85
į
1.82
Ħ
1.81
ĺ
1.75
¿½
1.72
Act
ivations
Density 1.774%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations