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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29060
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MODEL
0-mlp-sm
Source/SAE
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Explanations
measurements or quantities related to weight and health
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Intrusion Detection
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/29060?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
350
+0.16
0.9%
87
+0.14
0.8%
111
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.16
0.02
321
+0.14
0.01
271
+0.12
0.00
Negative Logits
<|outofrange|>
-3.69
<|outofrange|>
-3.69
-3.69
↵
-3.69
-3.69
↵↵
-3.69
-3.69
-3.69
↵
-3.69
-3.69
POSITIVE LOGITS
erals
1.84
ération
1.68
hift
1.64
ipel
1.64
dess
1.62
lications
1.61
ksen
1.58
.,
1.57
enic
1.54
esan
1.53
Act
ivations
Density 0.013%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations