Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2391 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0162. Min Act: -0.0003

Data Index: 683585 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 897169 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0136. Min Act: -0.0003

Data Index: 13153 (C4 (Web Text))

Max Activating Token Index: 677

Text #3

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Max Act: 0.0133. Min Act: -0.0003

Data Index: 1270960 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0135. Min Act: -0.0003

Data Index: 120291 (C4 (Web Text))

Max Activating Token Index: 667

Text #5

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Data Index: 965150 (C4 (Web Text))

Max Activating Token Index: 359

Text #6

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Data Index: 159961 (C4 (Web Text))

Max Activating Token Index: 570

Text #7

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Data Index: 513262 (C4 (Web Text))

Max Activating Token Index: 31

Text #8

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Data Index: 1503456 (Python Code)

Max Activating Token Index: 26

Text #9

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Data Index: 263213 (C4 (Web Text))

Max Activating Token Index: 898

Text #10

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Text #11

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Max Activating Token Index: 960

Text #12

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Max Activating Token Index: 411

Text #13

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Max Activating Token Index: 683

Text #14

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Data Index: 52605 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Max Activating Token Index: 398

Text #16

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Text #17

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Data Index: 1571732 (Python Code)

Max Activating Token Index: 580

Text #18

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Data Index: 172413 (C4 (Web Text))

Max Activating Token Index: 96

Text #19

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Data Index: 528862 (C4 (Web Text))

Max Activating Token Index: 221