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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25949
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MODEL
0-mlp-sm
Source/SAE
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Explanations
chemical compounds, specifically imides
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
433
+0.15
0.9%
306
+0.13
0.8%
361
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
433
+0.15
0.01
361
+0.13
0.01
24
+0.12
0.01
Negative Logits
ij
-2.25
¿½
-2.18
Ĥ¬
-2.16
Ķ
-2.13
©
-2.09
Ĵ
-1.98
´
-1.98
ĻĤ
-1.95
Īĺ
-1.94
¾
-1.88
POSITIVE LOGITS
jax
1.53
illo
1.51
oft
1.49
enhancement
1.49
à±ģ
1.48
furt
1.44
irez
1.40
chie
1.39
uary
1.39
crow
1.38
Act
ivations
Density 0.011%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations