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

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

Neuron 693 in Layer 0

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



Text #0

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0002. Min Act: -0.0002

Data Index: 1002885 (C4 (Web Text))

Max Activating Token Index: 6

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Text #1

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0002. Min Act: -0.0002

Data Index: 1051269 (C4 (Web Text))

Max Activating Token Index: 36

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Truncated

Full Text #1


Text #2

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0002

Data Index: 1150194 (C4 (Web Text))

Max Activating Token Index: 889

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Text #3

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 689850 (C4 (Web Text))

Max Activating Token Index: 492

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Truncated

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Text #4

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0001

Data Index: 30164 (C4 (Web Text))

Max Activating Token Index: 460

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Truncated

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Text #5

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0002

Data Index: 1102844 (C4 (Web Text))

Max Activating Token Index: 82

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Text #6

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 247921 (C4 (Web Text))

Max Activating Token Index: 44

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Truncated

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Text #7

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 373553 (C4 (Web Text))

Max Activating Token Index: 21

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Truncated

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Text #8

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1036914 (C4 (Web Text))

Max Activating Token Index: 851

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Text #9

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 870574 (C4 (Web Text))

Max Activating Token Index: 18

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Truncated

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Text #10

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1355481 (C4 (Web Text))

Max Activating Token Index: 33

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Truncated

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Text #11

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 262923 (C4 (Web Text))

Max Activating Token Index: 19

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Truncated

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Text #12

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Max Act: 0.0001. Min Act: -0.0001

Data Index: 1211553 (C4 (Web Text))

Max Activating Token Index: 548

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Truncated

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Text #13

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 455077 (C4 (Web Text))

Max Activating Token Index: 14

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Text #14

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1399911 (Python Code)

Max Activating Token Index: 6

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Truncated

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Text #15

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1389603 (Python Code)

Max Activating Token Index: 83

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Text #16

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0001

Data Index: 320358 (C4 (Web Text))

Max Activating Token Index: 591

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Truncated

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Text #17

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0002

Data Index: 1205066 (C4 (Web Text))

Max Activating Token Index: 33

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Truncated

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Text #18

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0002

Data Index: 1055744 (C4 (Web Text))

Max Activating Token Index: 4

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Truncated

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Text #19

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0001. Min Act: -0.0001

Data Index: 1217279 (C4 (Web Text))

Max Activating Token Index: 827

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