Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3632 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0179. Min Act: -0.0003

Data Index: 16987 (C4 (Web Text))

Max Activating Token Index: 183

Text #1

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Max Act: 0.0171. Min Act: -0.0003

Data Index: 288607 (C4 (Web Text))

Max Activating Token Index: 564

Text #2

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Max Act: 0.0164. Min Act: -0.0003

Data Index: 1260893 (C4 (Web Text))

Max Activating Token Index: 612

Text #3

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Max Act: 0.0165. Min Act: -0.0003

Data Index: 851576 (C4 (Web Text))

Max Activating Token Index: 633

Text #4

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Max Act: 0.0162. Min Act: -0.0003

Data Index: 365978 (C4 (Web Text))

Max Activating Token Index: 124

Text #5

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Data Index: 1212350 (C4 (Web Text))

Max Activating Token Index: 769

Text #6

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Data Index: 1098208 (C4 (Web Text))

Max Activating Token Index: 506

Text #7

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Max Activating Token Index: 217

Text #8

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Max Activating Token Index: 240

Text #9

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Data Index: 1095609 (C4 (Web Text))

Max Activating Token Index: 214

Text #10

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Data Index: 570647 (C4 (Web Text))

Max Activating Token Index: 567

Text #11

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Max Activating Token Index: 111

Text #12

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Max Activating Token Index: 423

Text #13

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Data Index: 39018 (C4 (Web Text))

Max Activating Token Index: 105

Text #14

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Data Index: 388045 (C4 (Web Text))

Max Activating Token Index: 655

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 795

Text #18

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Data Index: 76105 (C4 (Web Text))

Max Activating Token Index: 548

Text #19

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 370858 (C4 (Web Text))

Max Activating Token Index: 782