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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25503
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MODEL
0-mlp-sm
Source/SAE
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AutoInterp Type
claude-4-5-haiku
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Interpretable Score
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
3
+0.14
0.8%
200
+0.13
0.7%
314
+0.12
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
41
+0.14
0.18
473
+0.13
0.18
266
+0.12
0.16
Negative Logits
¿½
-2.78
§
-2.58
ĸ´
-2.29
Ĩ
-2.24
¸
-2.19
«
-2.18
ħ
-2.16
¡
-2.16
ļ
-2.12
´
-2.07
POSITIVE LOGITS
lash
1.61
cloth
1.61
âζ
1.45
oder
1.45
whence
1.44
[@
1.42
ed
1.40
bage
1.40
ek
1.38
eds
1.35
Act
ivations
Density 0.399%
Stacked
Snippet
Full
Show Breaks
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No Known Activations
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