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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30260
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MODEL
0-mlp-sm
Source/SAE
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Explanations
the concept of being overwhelmed
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
+0.22
1.3%
467
+0.13
0.7%
139
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
438
+0.22
0.04
53
+0.13
0.04
56
+0.12
0.01
Negative Logits
Åij
-1.52
schen
-1.48
nj
-1.45
ORS
-1.39
+}
-1.39
zo
-1.38
aks
-1.36
zk
-1.33
Municip
-1.33
zen
-1.31
POSITIVE LOGITS
µ
2.26
°
1.99
¤
1.78
Īĺ
1.78
ª
1.73
¥
1.71
ľĵ
1.60
£
1.59
estion
1.56
Ĥ¬
1.53
Act
ivations
Density 4.709%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations