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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29852
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MODEL
0-mlp-sm
Source/SAE
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Explanations
significant numerical values or constants 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
242
+0.15
0.8%
205
+0.13
0.7%
376
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
36
+0.15
0.12
209
+0.13
0.10
495
+0.13
0.08
Negative Logits
ĺ
-2.75
¶
-2.60
·
-2.49
ĥ½
-2.43
¡
-2.38
µ
-2.37
Ħ
-2.36
±
-2.29
Į
-2.25
Ŀ
-2.23
POSITIVE LOGITS
:=
1.71
ename
1.66
osto
1.53
affirm
1.45
Institute
1.44
ety
1.43
isme
1.43
enÃŃ
1.42
ientos
1.41
ÅĽÄĩ
1.40
Act
ivations
Density 0.177%
Stacked
Snippet
Full
Show Breaks
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No Known Activations