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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1765 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.5845. Min Act: -0.0005

Data Index: 1647089 (Python Code)

Max Activating Token Index: 674

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Text #1

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Max Act: 0.4577. Min Act: -0.0006

Data Index: 556200 (C4 (Web Text))

Max Activating Token Index: 969

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Text #2

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Max Act: 0.2909. Min Act: -0.0006

Data Index: 1362968 (Python Code)

Max Activating Token Index: 792

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Text #3

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Max Act: 0.1936. Min Act: -0.0005

Data Index: 1589275 (Python Code)

Max Activating Token Index: 784

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Text #4

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Data Index: 1569812 (Python Code)

Max Activating Token Index: 971

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Text #5

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Data Index: 1076712 (C4 (Web Text))

Max Activating Token Index: 760

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Text #6

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Data Index: 919090 (C4 (Web Text))

Max Activating Token Index: 952

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Text #7

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Data Index: 1592119 (Python Code)

Max Activating Token Index: 645

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Text #8

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Data Index: 1385715 (Python Code)

Max Activating Token Index: 205

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Text #9

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Data Index: 1612868 (Python Code)

Max Activating Token Index: 895

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Text #10

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Data Index: 1212205 (C4 (Web Text))

Max Activating Token Index: 958

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Text #11

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Data Index: 1560403 (Python Code)

Max Activating Token Index: 976

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Text #12

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Data Index: 1526546 (Python Code)

Max Activating Token Index: 336

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Text #13

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Data Index: 482424 (C4 (Web Text))

Max Activating Token Index: 973

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Text #14

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Data Index: 1573658 (Python Code)

Max Activating Token Index: 944

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Text #15

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Data Index: 1507842 (Python Code)

Max Activating Token Index: 603

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Text #16

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Data Index: 1421588 (Python Code)

Max Activating Token Index: 818

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Text #17

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Data Index: 1561227 (Python Code)

Max Activating Token Index: 311

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Text #18

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Data Index: 1486451 (Python Code)

Max Activating Token Index: 359

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Text #19

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Data Index: 1375545 (Python Code)

Max Activating Token Index: 640

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