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

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

Neuron 3882 in Layer 0

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

Text #0

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 1643779 (Python Code)

Max Activating Token Index: 675

Text #1

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Max Act: 0.0115. Min Act: -0.0003

Data Index: 779779 (C4 (Web Text))

Max Activating Token Index: 526

Text #2

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 1224069 (C4 (Web Text))

Max Activating Token Index: 695

Text #3

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Max Act: 0.0100. Min Act: -0.0003

Data Index: 387319 (C4 (Web Text))

Max Activating Token Index: 231

Text #4

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Max Act: 0.0097. Min Act: -0.0003

Data Index: 352017 (C4 (Web Text))

Max Activating Token Index: 277

Text #5

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Max Act: 0.0099. Min Act: -0.0002

Data Index: 1423316 (Python Code)

Max Activating Token Index: 76

Text #6

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Data Index: 814239 (C4 (Web Text))

Max Activating Token Index: 490

Text #7

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Max Activating Token Index: 523

Text #8

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Text #9

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Data Index: 642410 (C4 (Web Text))

Max Activating Token Index: 132

Text #10

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Data Index: 34057 (C4 (Web Text))

Max Activating Token Index: 34

Text #11

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Max Activating Token Index: 536

Text #12

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Data Index: 587212 (C4 (Web Text))

Max Activating Token Index: 361

Text #13

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Data Index: 744002 (C4 (Web Text))

Max Activating Token Index: 263

Text #14

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Data Index: 169839 (C4 (Web Text))

Max Activating Token Index: 585

Text #15

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Max Activating Token Index: 100

Text #16

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Text #17

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Data Index: 448572 (C4 (Web Text))

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Text #18

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Max Activating Token Index: 651

Text #19

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 988792 (C4 (Web Text))

Max Activating Token Index: 436