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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26213
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MODEL
0-mlp-sm
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references to tables and tabular 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
224
+0.12
0.7%
249
+0.12
0.7%
264
+0.11
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
264
+0.12
0.02
442
+0.12
0.02
224
+0.11
0.02
Negative Logits
Īĺ
-2.80
Ĥ¬
-2.46
§
-2.42
¨
-2.40
³
-2.35
ĩ
-2.34
·¸
-2.33
ĸ´
-2.28
¤
-2.25
Ķ
-2.21
POSITIVE LOGITS
aho
1.80
lists
1.75
ête
1.73
istani
1.70
heeft
1.69
info
1.67
aids
1.65
mans
1.62
↵³³
1.62
aña
1.61
Act
ivations
Density 0.035%
Stacked
Snippet
Full
Show Breaks
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No Known Activations