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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26627
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MODEL
2-mlp-sm
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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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Neuron Alignment
Index
Value
% of L₁
10
+0.15
0.8%
174
+0.12
0.7%
427
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
10
+0.15
0.02
174
+0.12
0.02
207
+0.11
0.01
Negative Logits
»¿
-2.53
-2.02
↵
-2.02
<|outofrange|>
-2.02
↵
-2.02
↵
-2.02
↵
-2.02
<|outofrange|>
-2.02
↵
-2.02
↵
-2.02
POSITIVE LOGITS
---|---
1.65
OCT
1.65
**](#
1.48
iveau
1.48
ker
1.47
itely
1.43
GF
1.42
necrosis
1.42
ABA
1.41
TOR
1.40
Act
ivations
Density 0.109%
Stacked
Snippet
Full
Show Raw Tokens
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No Known Activations