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

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

Neuron 1154 in Layer 1

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

Text #0

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Max Act: 0.0197. Min Act: -0.0003

Data Index: 1376164 (Python Code)

Max Activating Token Index: 118

Text #1

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Max Act: 0.0169. Min Act: -0.0003

Data Index: 1448046 (Python Code)

Max Activating Token Index: 912

Text #2

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Max Act: 0.0175. Min Act: -0.0003

Data Index: 1397135 (Python Code)

Max Activating Token Index: 142

Text #3

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1655057 (Python Code)

Max Activating Token Index: 304

Text #4

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Max Act: 0.0171. Min Act: -0.0003

Data Index: 216793 (C4 (Web Text))

Max Activating Token Index: 823

Text #5

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Max Act: 0.0145. Min Act: -0.0003

Data Index: 1300716 (C4 (Web Text))

Max Activating Token Index: 700

Text #6

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Data Index: 1533842 (Python Code)

Max Activating Token Index: 212

Text #7

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Data Index: 186732 (C4 (Web Text))

Max Activating Token Index: 325

Text #8

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Text #9

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Data Index: 506887 (C4 (Web Text))

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Text #10

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Max Activating Token Index: 134

Text #11

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Max Activating Token Index: 894

Text #12

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Data Index: 942196 (C4 (Web Text))

Max Activating Token Index: 550

Text #13

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Data Index: 1300314 (C4 (Web Text))

Max Activating Token Index: 469

Text #14

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Data Index: 1453119 (Python Code)

Max Activating Token Index: 41

Text #15

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Data Index: 1485690 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1155261 (C4 (Web Text))

Max Activating Token Index: 18

Text #19

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Max Act: 0.0120. Min Act: -0.0003

Data Index: 1204534 (C4 (Web Text))

Max Activating Token Index: 200