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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26609
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MODEL
0-mlp-sm
Source/SAE
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Explanations
instances of the word "gained," indicating a focus on progress, improvement, or acquisition
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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https://www.neuronpedia.org/pythia-70m-deduped/0-mlp-sm/26609?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
376
+0.21
1.2%
148
+0.12
0.7%
317
+0.11
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
109
+0.21
0.02
254
+0.12
0.02
317
+0.11
0.01
Negative Logits
ksen
-1.82
attle
-1.66
onson
-1.51
Argued
-1.51
isen
-1.51
rock
-1.50
dass
-1.50
akin
-1.50
ahan
-1.49
cco
-1.48
POSITIVE LOGITS
ĻĤ
2.66
¶
2.64
ģ
2.64
¤
2.52
ļ
2.49
Ĩ
2.48
Ģ
2.46
¢
2.45
ł
2.45
£
2.37
Act
ivations
Density 0.547%
Stacked
Snippet
Full
Show Breaks
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No Known Activations