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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23268
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MODEL
2-mlp-sm
Source/SAE
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Explanations
references to software libraries and programming components
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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
156
+0.19
1.1%
289
+0.12
0.7%
207
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
135
+0.19
0.03
390
+0.12
0.02
30
+0.12
0.02
Negative Logits
others
-1.49
kees
-1.46
idays
-1.46
asan
-1.44
ux
-1.44
isin
-1.43
kers
-1.41
foreign
-1.39
sense
-1.38
chten
-1.37
POSITIVE LOGITS
§
3.16
ĨĴ
3.11
¾
2.96
Ļª
2.94
ı
2.86
İ
2.85
2.79
2.79
↵
2.79
2.79
Act
ivations
Density 1.351%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations