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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26602
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MODEL
0-mlp-sm
Source/SAE
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Explanations
expressions of gratitude
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/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
376
+0.16
0.9%
317
+0.13
0.7%
334
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
317
+0.16
0.02
138
+0.13
0.02
334
+0.12
0.02
Negative Logits
ĭ
-2.23
´
-1.98
ij
-1.94
·¸
-1.91
º
-1.84
¿½
-1.79
Ī
-1.78
«
-1.67
®
-1.67
ĺ
-1.64
POSITIVE LOGITS
giving
2.18
emit
1.57
asio
1.56
iano
1.56
lı
1.53
xsl
1.50
gery
1.49
iei
1.48
oslav
1.45
izumab
1.41
Act
ivations
Density 4.230%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations