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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30434
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MODEL
0-mlp-sm
Source/SAE
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Explanations
instances of the term "diff" related to differences in code or data
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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
142
+0.14
0.8%
348
+0.12
0.7%
0
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
142
+0.14
0.02
324
+0.12
0.02
0
+0.12
0.01
Negative Logits
Ĥ
-2.07
ĵ
-2.00
ķ
-1.98
Ĭ
-1.95
ĸ´
-1.85
´
-1.84
Ĩ
-1.82
ı
-1.76
Ĥ¬
-1.74
Ľ
-1.72
POSITIVE LOGITS
:`
2.06
minist
1.99
icile
1.91
gren
1.81
etable
1.80
vier
1.74
eria
1.73
icult
1.71
optimal
1.69
edin
1.68
Act
ivations
Density 0.012%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations