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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3817 in Layer 1

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-12l')

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Text #0

Max Range: 0.2115. Min Range: -0.2115

Max Act: 0.2087. Min Act: -0.0002

Data Index: 19173 (C4 (Web Text))

Max Activating Token Index: 411

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Truncated

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Text #1

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Max Act: 0.2047. Min Act: -0.0002

Data Index: 866768 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

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Text #2

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Max Act: 0.2032. Min Act: -0.0002

Data Index: 110190 (C4 (Web Text))

Max Activating Token Index: 169

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Truncated

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Text #3

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Max Act: 0.2115. Min Act: -0.0002

Data Index: 287690 (C4 (Web Text))

Max Activating Token Index: 89

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Truncated

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Text #4

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Max Act: 0.1970. Min Act: -0.0002

Data Index: 362287 (C4 (Web Text))

Max Activating Token Index: 308

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Truncated

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Text #5

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Max Act: 0.1970. Min Act: -0.0002

Data Index: 333228 (C4 (Web Text))

Max Activating Token Index: 73

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Truncated

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Text #6

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Max Act: 0.1961. Min Act: -0.0002

Data Index: 964225 (C4 (Web Text))

Max Activating Token Index: 504

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Truncated

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Text #7

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Max Act: 0.1925. Min Act: -0.0002

Data Index: 226280 (C4 (Web Text))

Max Activating Token Index: 216

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Truncated

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Text #8

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Max Act: 0.1930. Min Act: -0.0002

Data Index: 1403459 (Python Code)

Max Activating Token Index: 641

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Text #9

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Max Act: 0.1935. Min Act: -0.0002

Data Index: 304616 (C4 (Web Text))

Max Activating Token Index: 120

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Truncated

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Text #10

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Max Act: 0.1905. Min Act: -0.0002

Data Index: 511652 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

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Text #11

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Max Act: 0.1905. Min Act: -0.0002

Data Index: 149337 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

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Text #12

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Max Act: 0.1892. Min Act: -0.0002

Data Index: 1124837 (C4 (Web Text))

Max Activating Token Index: 747

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Truncated

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Text #13

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Max Act: 0.1899. Min Act: -0.0002

Data Index: 934653 (C4 (Web Text))

Max Activating Token Index: 217

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Truncated

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Text #14

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Max Act: 0.1900. Min Act: -0.0002

Data Index: 1624373 (Python Code)

Max Activating Token Index: 399

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Text #15

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Max Act: 0.1898. Min Act: -0.0002

Data Index: 1626593 (Python Code)

Max Activating Token Index: 722

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Text #16

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Max Act: 0.1900. Min Act: -0.0002

Data Index: 707252 (C4 (Web Text))

Max Activating Token Index: 906

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Truncated

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Text #17

Max Range: 0.2115. Min Range: -0.2115

Max Act: 0.1873. Min Act: -0.0002

Data Index: 187657 (C4 (Web Text))

Max Activating Token Index: 777

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Truncated

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Text #18

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Max Act: 0.1902. Min Act: -0.0002

Data Index: 1094085 (C4 (Web Text))

Max Activating Token Index: 245

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Truncated

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Text #19

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Max Act: 0.1880. Min Act: -0.0002

Data Index: 512829 (C4 (Web Text))

Max Activating Token Index: 425

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