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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23574
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MODEL
2-mlp-sm
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Explanations
sources or references related to health and social issues
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/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
149
+0.11
0.6%
331
+0.11
0.6%
65
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
149
+0.11
0.04
56
+0.11
0.06
422
+0.11
0.04
Negative Logits
³
-4.54
Ĩ
-4.30
¢
-4.30
Ń
-4.21
¾
-4.13
ĥ
-4.05
ī
-4.05
ĭ
-4.04
Ī
-4.01
§
-4.01
POSITIVE LOGITS
fered
1.45
ousand
1.45
orno
1.45
))).
1.38
isse
1.27
bons
1.27
inib
1.26
izable
1.26
omyces
1.23
ideo
1.22
Act
ivations
Density 0.438%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations