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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1740 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0265. Min Act: -0.0002

Data Index: 19717 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

Full Text #0


Text #1

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0265. Min Act: -0.0002

Data Index: 255245 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

Full Text #1


Text #2

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0265. Min Act: -0.0002

Data Index: 1230652 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

Full Text #2


Text #3

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0255. Min Act: -0.0002

Data Index: 722494 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #3


Text #4

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0255. Min Act: -0.0002

Data Index: 82908 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #4


Text #5

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0255. Min Act: -0.0002

Data Index: 1014331 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #5


Text #6

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 410025 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #6


Text #7

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 821522 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #7


Text #8

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0237. Min Act: -0.0002

Data Index: 1433470 (Python Code)

Max Activating Token Index: 1

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Truncated

Full Text #8


Text #9

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0237. Min Act: -0.0002

Data Index: 86592 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #9


Text #10

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0237. Min Act: -0.0002

Data Index: 628443 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #10


Text #11

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 553655 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #11


Text #12

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 480746 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

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Text #13

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0237. Min Act: -0.0002

Data Index: 827592 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

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Text #14

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0235. Min Act: -0.0002

Data Index: 907970 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

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Text #15

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Max Act: 0.0235. Min Act: -0.0002

Data Index: 1076925 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #15


Text #16

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0235. Min Act: -0.0002

Data Index: 585856 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #16


Text #17

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0235. Min Act: -0.0002

Data Index: 1303267 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

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Text #18

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0232. Min Act: -0.0002

Data Index: 131961 (C4 (Web Text))

Max Activating Token Index: 1

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Truncated

Full Text #18


Text #19

Max Range: 0.0265. Min Range: -0.0265

Max Act: 0.0232. Min Act: -0.0002

Data Index: 1556255 (Python Code)

Max Activating Token Index: 1

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Truncated

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