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

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

Neuron 2887 in Layer 7

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.7053. Min Act: -0.0000

Data Index: 1081388 (C4 (Web Text))

Max Activating Token Index: 54

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Text #1

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Max Act: 2.5125. Min Act: -0.0000

Data Index: 687147 (C4 (Web Text))

Max Activating Token Index: 582

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Text #2

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Max Act: 2.1537. Min Act: -0.0000

Data Index: 1272765 (C4 (Web Text))

Max Activating Token Index: 516

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Text #3

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Max Act: 2.1397. Min Act: -0.0000

Data Index: 1449807 (Python Code)

Max Activating Token Index: 433

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Text #4

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Max Act: 1.8354. Min Act: -0.0000

Data Index: 1245669 (C4 (Web Text))

Max Activating Token Index: 613

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Text #5

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Data Index: 1096519 (C4 (Web Text))

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Text #6

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Data Index: 59933 (C4 (Web Text))

Max Activating Token Index: 91

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Text #7

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Data Index: 838141 (C4 (Web Text))

Max Activating Token Index: 51

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Text #8

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Data Index: 899369 (C4 (Web Text))

Max Activating Token Index: 479

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Text #9

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Data Index: 135446 (C4 (Web Text))

Max Activating Token Index: 1015

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Text #10

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Data Index: 1122628 (C4 (Web Text))

Max Activating Token Index: 961

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Text #11

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Text #12

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Data Index: 1007825 (C4 (Web Text))

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Text #13

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Data Index: 1127639 (C4 (Web Text))

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Text #14

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Data Index: 730034 (C4 (Web Text))

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Text #15

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Data Index: 1275120 (C4 (Web Text))

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Text #16

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Data Index: 108096 (C4 (Web Text))

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Text #17

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Data Index: 1647273 (Python Code)

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Text #18

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Max Act: 1.6384. Min Act: -0.0000

Data Index: 132746 (C4 (Web Text))

Max Activating Token Index: 20

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Text #19

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Max Act: 1.6415. Min Act: -0.0000

Data Index: 976015 (C4 (Web Text))

Max Activating Token Index: 480

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