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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26986
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MODEL
0-mlp-sm
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references to a specific scientific measurement or data in a structured format
oai_token-act-pair · gpt-4o-mini
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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
451
+0.12
0.7%
502
+0.12
0.7%
354
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
61
+0.12
0.01
116
+0.12
0.01
451
+0.10
0.01
Negative Logits
ĥ½
-2.71
³
-2.69
·¸
-2.60
»¿
-2.55
Ĥ
-2.44
Ĥ¬
-2.34
±
-2.31
ĸ´
-2.31
į
-2.30
´
-2.29
POSITIVE LOGITS
ruptcy
1.91
estock
1.83
#:
1.71
FW
1.71
ocker
1.69
vre
1.66
CHA
1.64
IVE
1.63
oir
1.63
BUF
1.59
Act
ivations
Density 0.404%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations