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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28701
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to various forms of talent
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
156
+0.18
1.0%
376
+0.13
0.7%
329
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
329
+0.18
0.02
465
+0.13
0.02
122
+0.11
0.02
Negative Logits
³
-2.74
£
-2.60
§
-2.40
Ń
-2.38
ĥ
-2.06
µ
-2.05
·
-2.04
ĵ
-2.03
ĥ½
-1.96
ĨĴ
-1.94
POSITIVE LOGITS
hole
1.90
facts
1.53
holes
1.48
grass
1.44
oon
1.44
pains
1.43
acre
1.43
istically
1.42
ually
1.39
bud
1.39
Act
ivations
Density 0.017%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations