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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 505 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0039. Min Act: -0.0003

Data Index: 1575513 (Python Code)

Max Activating Token Index: 8

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Text #1

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Max Act: 0.0037. Min Act: -0.0003

Data Index: 1444769 (Python Code)

Max Activating Token Index: 259

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Text #2

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Max Act: 0.0037. Min Act: -0.0003

Data Index: 1598623 (Python Code)

Max Activating Token Index: 247

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Text #3

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Max Act: 0.0036. Min Act: -0.0003

Data Index: 1425351 (Python Code)

Max Activating Token Index: 585

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Text #4

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Max Act: 0.0036. Min Act: -0.0003

Data Index: 1467269 (Python Code)

Max Activating Token Index: 949

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Text #5

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Data Index: 1457712 (Python Code)

Max Activating Token Index: 602

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Text #6

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Data Index: 1526471 (Python Code)

Max Activating Token Index: 178

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Text #7

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Data Index: 1411906 (Python Code)

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Text #8

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Data Index: 1510164 (Python Code)

Max Activating Token Index: 648

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Text #9

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Data Index: 1403877 (Python Code)

Max Activating Token Index: 630

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Text #10

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Data Index: 1653339 (Python Code)

Max Activating Token Index: 210

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Text #11

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Data Index: 1617502 (Python Code)

Max Activating Token Index: 514

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Text #12

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Data Index: 1416494 (Python Code)

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Text #13

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Data Index: 206591 (C4 (Web Text))

Max Activating Token Index: 91

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Text #14

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Data Index: 1393768 (Python Code)

Max Activating Token Index: 375

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Text #15

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Data Index: 1644451 (Python Code)

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Text #16

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Data Index: 1543197 (Python Code)

Max Activating Token Index: 17

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Text #17

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Data Index: 1591020 (Python Code)

Max Activating Token Index: 460

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Text #18

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Max Act: 0.0033. Min Act: -0.0004

Data Index: 782781 (C4 (Web Text))

Max Activating Token Index: 765

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Text #19

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Data Index: 1384789 (Python Code)

Max Activating Token Index: 454

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