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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26031
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MODEL
2-mlp-sm
Source/SAE
INDEX
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Explanations
proper nouns, particularly names of individuals and characters
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
148
+0.17
1.0%
497
+0.12
0.6%
230
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
299
+0.17
0.06
148
+0.12
0.06
374
+0.11
0.04
Negative Logits
Suite
-1.78
ulus
-1.71
voir
-1.63
quo
-1.58
nen
-1.54
mile
-1.47
Newton
-1.47
firm
-1.46
Decided
-1.45
Sea
-1.42
POSITIVE LOGITS
ĻĤ
3.80
Ļª
3.22
¿½
3.12
°
3.12
Ĵ
3.10
Ĭ
3.06
ľĵ
2.92
č↵
2.86
↵
2.86
↵
2.86
Act
ivations
Density 0.471%
Stacked
Snippet
Full
Show Raw Tokens
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No Known Activations