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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28737
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MODEL
0-mlp-sm
Source/SAE
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specific numerical values or significant figures in data
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
458
+0.18
1.0%
81
+0.14
0.8%
69
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
458
+0.18
0.08
58
+0.14
0.06
307
+0.12
0.06
Negative Logits
pity
-1.76
"?"
-1.69
hentication
-1.56
>$
-1.44
'?"
-1.39
'?
-1.39
herself
-1.38
dont
-1.35
denial
-1.32
AAAAAAAA
-1.31
POSITIVE LOGITS
³
2.22
Ľ
2.16
®
2.01
µ
1.94
ĥ½
1.82
ħ
1.79
ļ
1.78
ł
1.77
¥
1.74
»
1.72
Act
ivations
Density 0.154%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations