Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1201 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0062. Min Act: -0.0005

Data Index: 1523126 (Python Code)

Max Activating Token Index: 634

Text #1

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Max Act: 0.0056. Min Act: -0.0005

Data Index: 333883 (C4 (Web Text))

Max Activating Token Index: 269

Text #2

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Data Index: 915765 (C4 (Web Text))

Max Activating Token Index: 1017

Text #3

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Max Act: 0.0055. Min Act: -0.0005

Data Index: 900809 (C4 (Web Text))

Max Activating Token Index: 813

Text #4

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Max Act: 0.0055. Min Act: -0.0005

Data Index: 1302462 (C4 (Web Text))

Max Activating Token Index: 152

Text #5

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Max Act: 0.0055. Min Act: -0.0005

Data Index: 979142 (C4 (Web Text))

Max Activating Token Index: 146

Text #6

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Data Index: 1427532 (Python Code)

Max Activating Token Index: 399

Text #7

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Max Activating Token Index: 824

Text #8

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Max Activating Token Index: 649

Text #9

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Max Activating Token Index: 1019

Text #10

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Data Index: 1559750 (Python Code)

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Text #11

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Data Index: 1492749 (Python Code)

Max Activating Token Index: 958

Text #12

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Max Activating Token Index: 739

Text #13

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Max Activating Token Index: 57

Text #14

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Max Activating Token Index: 832

Text #15

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Text #16

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Max Activating Token Index: 808

Text #17

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Data Index: 1609451 (Python Code)

Max Activating Token Index: 513

Text #18

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Data Index: 9325 (C4 (Web Text))

Max Activating Token Index: 202

Text #19

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Max Act: 0.0051. Min Act: -0.0005

Data Index: 231101 (C4 (Web Text))

Max Activating Token Index: 943