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

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

Neuron 3648 in Layer 0

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



Text #0

Max Range: 0.0076. Min Range: -0.0076

Max Act: 0.0076. Min Act: -0.0002

Data Index: 1543662 (Python Code)

Max Activating Token Index: 104

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Text #1

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 171331 (C4 (Web Text))

Max Activating Token Index: 298

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Text #2

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1402340 (Python Code)

Max Activating Token Index: 189

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Text #3

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 1418955 (Python Code)

Max Activating Token Index: 664

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Text #4

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1584942 (Python Code)

Max Activating Token Index: 1013

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Text #5

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 1421276 (Python Code)

Max Activating Token Index: 428

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Text #6

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 346048 (C4 (Web Text))

Max Activating Token Index: 607

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Text #7

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 1542994 (Python Code)

Max Activating Token Index: 4

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Text #8

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1476103 (Python Code)

Max Activating Token Index: 950

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Text #9

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1516271 (Python Code)

Max Activating Token Index: 571

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Text #10

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1518594 (Python Code)

Max Activating Token Index: 161

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Text #11

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Data Index: 1379822 (Python Code)

Max Activating Token Index: 638

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Text #12

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Data Index: 1466698 (Python Code)

Max Activating Token Index: 10

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Text #13

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 1446867 (Python Code)

Max Activating Token Index: 555

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Text #14

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 1474636 (Python Code)

Max Activating Token Index: 77

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Text #15

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Data Index: 1461108 (Python Code)

Max Activating Token Index: 493

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Text #16

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Data Index: 1499237 (Python Code)

Max Activating Token Index: 33

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Text #17

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 1531798 (Python Code)

Max Activating Token Index: 52

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Text #18

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 1540480 (Python Code)

Max Activating Token Index: 570

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Text #19

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 1579611 (Python Code)

Max Activating Token Index: 295

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