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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26390
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MODEL
2-mlp-sm
Source/SAE
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Explanations
references to children and their well-being
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
170
+0.15
0.8%
23
+0.12
0.7%
134
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
235
+0.15
0.05
141
+0.12
0.04
31
+0.12
0.04
Negative Logits
ı
-3.11
¾
-3.01
Ļ
-3.00
º
-2.96
«
-2.94
Ľ
-2.93
Į
-2.91
İ
-2.84
ģ
-2.79
³
-2.79
POSITIVE LOGITS
forall
1.52
substack
1.52
\$
1.50
reon
1.49
valence
1.47
rl
1.45
retched
1.45
|}\
1.44
Allah
1.42
compare
1.41
Act
ivations
Density 0.451%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations