Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1644 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Data Index: 92895 (C4 (Web Text))
Max Activating Token Index: 903
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Text #1
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Data Index: 778390 (C4 (Web Text))
Max Activating Token Index: 111
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Text #2
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Data Index: 721472 (C4 (Web Text))
Max Activating Token Index: 67
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Text #3
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Data Index: 738869 (C4 (Web Text))
Max Activating Token Index: 271
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Text #4
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Max Act: 0.0095. Min Act: -0.0003
Data Index: 209272 (C4 (Web Text))
Max Activating Token Index: 360
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Text #5
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Data Index: 1070884 (C4 (Web Text))
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Text #6
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Data Index: 134600 (C4 (Web Text))
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Text #7
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Data Index: 749207 (C4 (Web Text))
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Text #8
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Data Index: 867254 (C4 (Web Text))
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Text #9
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Data Index: 788196 (C4 (Web Text))
Max Activating Token Index: 978
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Text #10
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Data Index: 9241 (C4 (Web Text))
Max Activating Token Index: 172
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Text #11
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Data Index: 488322 (C4 (Web Text))
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Text #12
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Data Index: 172738 (C4 (Web Text))
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Text #13
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Data Index: 876411 (C4 (Web Text))
Max Activating Token Index: 631
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Text #14
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Data Index: 1359434 (C4 (Web Text))
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Text #15
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Data Index: 897162 (C4 (Web Text))
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Text #16
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Data Index: 792667 (C4 (Web Text))
Max Activating Token Index: 491
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Text #17
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Max Act: 0.0084. Min Act: -0.0004
Data Index: 472428 (C4 (Web Text))
Max Activating Token Index: 726
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Text #18
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Data Index: 1620201 (Python Code)
Max Activating Token Index: 106
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Text #19
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Max Act: 0.0084. Min Act: -0.0003
Data Index: 1587069 (Python Code)
Max Activating Token Index: 101
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