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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29040
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MODEL
0-mlp-sm
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Explanations
references to "raw" items or concepts
oai_token-act-pair · gpt-4o-mini
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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
156
+0.18
1.0%
376
+0.16
0.9%
443
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
482
+0.18
0.01
423
+0.16
0.01
452
+0.12
0.01
Negative Logits
ĥ½
-3.15
Ń
-3.11
ľ
-3.05
ĵ
-2.98
¿
-2.96
ľĵ
-2.91
Ĩ
-2.74
§
-2.65
ij
-2.55
ŀ
-2.51
POSITIVE LOGITS
folk
1.92
stown
1.74
dock
1.74
lett
1.63
eful
1.62
forge
1.62
lings
1.59
shire
1.58
iff
1.58
ankind
1.55
Act
ivations
Density 0.014%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations