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

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

Neuron 3204 in Layer 0

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

Text #0

Max Range: 0.0071. Min Range: -0.0071

Max Act: 0.0071. Min Act: -0.0003

Data Index: 555806 (C4 (Web Text))

Max Activating Token Index: 483

Text #1

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Max Act: 0.0070. Min Act: -0.0003

Data Index: 1018877 (C4 (Web Text))

Max Activating Token Index: 161

Text #2

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Max Act: 0.0069. Min Act: -0.0003

Data Index: 828870 (C4 (Web Text))

Max Activating Token Index: 522

Text #3

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Max Act: 0.0068. Min Act: -0.0003

Data Index: 444811 (C4 (Web Text))

Max Activating Token Index: 329

Text #4

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Max Act: 0.0067. Min Act: -0.0003

Data Index: 369982 (C4 (Web Text))

Max Activating Token Index: 581

Text #5

Max Range: 0.0071. Min Range: -0.0071

Max Act: 0.0067. Min Act: -0.0003

Data Index: 879847 (C4 (Web Text))

Max Activating Token Index: 22

Text #6

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Max Act: 0.0067. Min Act: -0.0003

Data Index: 636636 (C4 (Web Text))

Max Activating Token Index: 73

Text #7

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Max Act: 0.0067. Min Act: -0.0003

Data Index: 736088 (C4 (Web Text))

Max Activating Token Index: 393

Text #8

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1488023 (Python Code)

Max Activating Token Index: 45

Text #9

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Max Act: 0.0067. Min Act: -0.0003

Data Index: 662436 (C4 (Web Text))

Max Activating Token Index: 13

Text #10

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Max Act: 0.0065. Min Act: -0.0003

Data Index: 861065 (C4 (Web Text))

Max Activating Token Index: 1

Text #11

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Max Act: 0.0065. Min Act: -0.0003

Data Index: 1479613 (Python Code)

Max Activating Token Index: 1

Text #12

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Data Index: 1508300 (Python Code)

Max Activating Token Index: 1

Text #13

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1498719 (Python Code)

Max Activating Token Index: 1

Text #14

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1541391 (Python Code)

Max Activating Token Index: 1

Text #15

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1571559 (Python Code)

Max Activating Token Index: 1

Text #16

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1442672 (Python Code)

Max Activating Token Index: 1

Text #17

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1583101 (Python Code)

Max Activating Token Index: 1

Text #18

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1397135 (Python Code)

Max Activating Token Index: 1

Text #19

Max Range: 0.0071. Min Range: -0.0071

Max Act: 0.0065. Min Act: -0.0002

Data Index: 1524493 (Python Code)

Max Activating Token Index: 1