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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27043
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MODEL
0-mlp-sm
Source/SAE
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Explanations
the word "You" and its variations, indicating a focus on direct address or engagement with the reader
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
102
+0.16
0.9%
47
+0.11
0.6%
146
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
124
+0.16
0.07
354
+0.11
0.06
381
+0.11
0.05
Negative Logits
·
-2.08
ĸ´
-1.98
¾
-1.92
¸
-1.75
Ń
-1.75
Ĭ
-1.71
¦
-1.65
<|outofrange|>
-1.63
↵
-1.63
<|outofrange|>
-1.63
POSITIVE LOGITS
+)
1.93
$),
1.68
$)
1.58
anza
1.58
antine
1.53
)/\
1.52
ej
1.52
/)
1.50
onso
1.46
mx
1.42
Act
ivations
Density 0.118%
Stacked
Snippet
Full
Show Breaks
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No Known Activations