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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26160
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to a specific character encoding standard
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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Neuron Alignment
Index
Value
% of L₁
320
+0.15
0.9%
111
+0.15
0.9%
466
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.15
0.01
169
+0.15
0.01
199
+0.12
0.01
Negative Logits
¿
-2.60
į
-2.37
«
-2.35
Īĺ
-2.34
ı
-2.29
·¸
-2.27
¿½
-2.25
Ĺ
-2.20
ľĵ
-2.15
ĥ
-2.13
POSITIVE LOGITS
nai
1.97
lä
1.95
agne
1.85
fors
1.76
för
1.74
chester
1.73
á̬
1.72
krit
1.68
ű
1.67
skins
1.66
Act
ivations
Density 0.187%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations