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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27128
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0-mlp-sm
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specialized methods or strategies 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/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
156
+0.27
1.6%
376
+0.16
1.0%
77
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
77
+0.27
0.02
262
+0.16
0.02
461
+0.13
0.01
Negative Logits
ĥ½
-3.10
§
-2.80
»¿
-2.75
Ļª
-2.65
¼
-2.47
į
-2.39
»
-2.37
³
-2.33
ĥ
-2.33
·¸
-2.27
POSITIVE LOGITS
urgical
1.79
heet
1.65
urg
1.51
ica
1.50
ics
1.50
erv
1.49
este
1.49
hell
1.46
etting
1.46
cue
1.45
Act
ivations
Density 0.567%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations