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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23896
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MODEL
2-mlp-sm
Source/SAE
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Explanations
phrases that indicate the act of presenting or reporting information in a scientific context
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
222
+0.14
0.8%
479
+0.12
0.6%
118
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
470
+0.14
0.04
455
+0.12
0.03
317
+0.10
0.03
Negative Logits
feel
-1.53
ICE
-1.48
oho
-1.40
**
-1.38
earnest
-1.36
ah
-1.35
addy
-1.35
anian
-1.34
adren
-1.33
Boys
-1.32
POSITIVE LOGITS
↵ ³³³
1.76
1.76
↵↵↵
1.76
1.76
1.76
↵
1.76
č↵
1.76
↵
1.76
1.76
1.76
Act
ivations
Density 0.273%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations