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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1097 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0712. Min Act: -0.0003

Data Index: 772631 (C4 (Web Text))

Max Activating Token Index: 675

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Text #1

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Max Act: 0.0675. Min Act: -0.0003

Data Index: 905871 (C4 (Web Text))

Max Activating Token Index: 229

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Text #2

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Max Act: 0.0671. Min Act: -0.0003

Data Index: 549077 (C4 (Web Text))

Max Activating Token Index: 78

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Text #3

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Max Act: 0.0620. Min Act: -0.0003

Data Index: 1171920 (C4 (Web Text))

Max Activating Token Index: 719

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Truncated

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Text #4

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Max Act: 0.0650. Min Act: -0.0003

Data Index: 1321500 (C4 (Web Text))

Max Activating Token Index: 366

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Truncated

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Text #5

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Max Act: 0.0621. Min Act: -0.0003

Data Index: 509471 (C4 (Web Text))

Max Activating Token Index: 35

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Text #6

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Data Index: 235983 (C4 (Web Text))

Max Activating Token Index: 242

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Text #7

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Data Index: 897822 (C4 (Web Text))

Max Activating Token Index: 157

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Truncated

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Text #8

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Data Index: 1532165 (Python Code)

Max Activating Token Index: 70

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Text #9

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Data Index: 733916 (C4 (Web Text))

Max Activating Token Index: 85

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Text #10

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Data Index: 1102858 (C4 (Web Text))

Max Activating Token Index: 945

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Text #11

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Data Index: 338422 (C4 (Web Text))

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Text #12

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Data Index: 683760 (C4 (Web Text))

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Text #13

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Data Index: 1149953 (C4 (Web Text))

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Text #14

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Data Index: 707818 (C4 (Web Text))

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Text #15

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Data Index: 1416079 (Python Code)

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Text #16

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Data Index: 1550585 (Python Code)

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Text #17

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Max Act: 0.0578. Min Act: -0.0003

Data Index: 486064 (C4 (Web Text))

Max Activating Token Index: 307

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Text #18

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 167167 (C4 (Web Text))

Max Activating Token Index: 642

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Truncated

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Text #19

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Max Act: 0.0597. Min Act: -0.0003

Data Index: 458116 (C4 (Web Text))

Max Activating Token Index: 161

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