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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28696
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to data structures such as ArrayLists and HashMaps
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
376
+0.15
0.8%
144
+0.14
0.8%
123
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
284
+0.15
0.01
123
+0.14
0.01
324
+0.12
0.01
Negative Logits
ĵ
-2.89
³
-2.68
Ĵ
-2.66
¯
-2.65
ij
-2.60
´
-2.60
¿
-2.41
¤
-2.41
Ĥ¬
-2.38
ħ
-2.37
POSITIVE LOGITS
vols
1.52
amsbsy
1.47
igan
1.47
ison
1.43
erialize
1.43
kb
1.40
thereof
1.39
zez
1.39
istry
1.38
haus
1.38
Act
ivations
Density 0.011%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations