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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28178
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MODEL
0-mlp-sm
Source/SAE
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Explanations
repeated phrases or emphasis on specific elements in the text
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
112
+0.14
0.7%
497
+0.13
0.7%
257
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
402
+0.14
0.15
26
+0.13
0.14
199
+0.11
0.14
Negative Logits
»
-3.79
Ĥ¬
-3.60
ĥ½
-3.37
ĸ´
-3.27
ļ
-3.15
Īĺ
-3.11
ħ
-3.02
ĥ
-2.97
Ľ
-2.97
¡
-2.94
POSITIVE LOGITS
actic
1.48
etic
1.45
icion
1.44
sk
1.41
choline
1.40
correspond
1.39
new
1.36
tech
1.32
sov
1.30
van
1.29
Act
ivations
Density 0.274%
Stacked
Snippet
Full
Show Breaks
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No Known Activations