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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25983
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to embryos and their preservation processes
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
+0.35
2.2%
93
+0.15
0.9%
71
+0.14
0.9%
Correlated Neurons
Index
P. Corr.
Cos Sim.
93
+0.35
0.01
156
+0.15
0.01
17
+0.14
0.01
Negative Logits
ĥ½
-3.88
¯
-3.64
³
-3.35
·
-3.31
£
-3.30
ı
-3.23
ij
-3.22
ķ
-3.21
Ĵ
-3.19
Ĥ
-3.17
POSITIVE LOGITS
stem
1.43
ocs
1.43
ong
1.41
hower
1.39
ime
1.39
uit
1.37
om
1.36
break
1.35
ospace
1.32
PUT
1.32
Act
ivations
Density 0.016%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations