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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26125
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MODEL
0-mlp-sm
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Explanations
references to the ocean
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
156
+0.31
1.8%
369
+0.12
0.7%
315
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
128
+0.31
0.02
56
+0.12
0.01
338
+0.11
0.02
Negative Logits
srep
-1.56
rapy
-1.50
TRODUCTION
-1.49
)](#
-1.47
ção
-1.38
uka
-1.38
Lew
-1.36
ymph
-1.36
olymer
-1.35
opes
-1.35
POSITIVE LOGITS
ħ
2.45
Ļª
2.43
®
2.27
ģ
2.24
¿½
2.19
·¸
2.08
Ģ
2.05
²
2.04
ª
2.02
ĻĤ
2.02
Act
ivations
Density 4.641%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations