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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23237
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MODEL
2-mlp-sm
Source/SAE
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Explanations
expressions of capability or potential in various contexts
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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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
324
+0.16
0.9%
424
+0.15
0.9%
92
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
424
+0.16
0.04
58
+0.15
0.05
335
+0.12
0.05
Negative Logits
ulp
-1.58
together
-1.53
ebra
-1.51
III
-1.51
II
-1.47
suffice
-1.45
efs
-1.45
ength
-1.42
IPS
-1.41
undef
-1.41
POSITIVE LOGITS
Ĵ
3.28
½
3.04
¨
2.80
¢
2.80
ī
2.78
Ģ
2.77
·¸
2.76
¸
2.73
ŀ
2.71
ļ
2.58
Act
ivations
Density 0.409%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations