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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26476
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MODEL
0-mlp-sm
Source/SAE
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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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https://www.neuronpedia.org/pythia-70m-deduped/0-mlp-sm/26476?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
469
+0.12
0.6%
357
+0.11
0.6%
312
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
295
+0.12
0.26
136
+0.11
0.23
225
+0.11
0.23
Negative Logits
ences
-1.78
ened
-1.74
enez
-1.70
ename
-1.69
ingham
-1.64
caster
-1.64
PLIED
-1.64
anmar
-1.63
eth
-1.60
ently
-1.58
POSITIVE LOGITS
Ħ
2.39
Ļª
2.30
ĥ
2.14
Ĺ
2.10
©
1.95
£
1.90
Ķ
1.87
ĭ
1.85
»
1.80
§
1.79
Act
ivations
Density 1.546%
Stacked
Snippet
Full
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No Known Activations
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