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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26668
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MODEL
2-mlp-sm
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Explanations
the phrase "of" in various contexts
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/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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https://www.neuronpedia.org/pythia-70m-deduped/2-mlp-sm/26668?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
358
+0.12
0.7%
22
+0.12
0.6%
349
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
349
+0.12
0.04
339
+0.12
0.04
218
+0.11
0.04
Negative Logits
axon
-1.71
oop
-1.68
fiddle
-1.67
ulla
-1.63
ibile
-1.50
blic
-1.50
аÑı
-1.43
ed
-1.43
cres
-1.42
ap
-1.41
POSITIVE LOGITS
↵
1.85
1.85
č↵
1.85
1.85
↵
1.85
<|outofrange|>
1.85
↵↵
1.85
↵
1.85
<|outofrange|>
1.85
1.85
Act
ivations
Density 0.115%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations