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

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

Neuron 3043 in Layer 5

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



Text #0

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Max Act: 0.0493. Min Act: -0.0001

Data Index: 1608774 (Python Code)

Max Activating Token Index: 937

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Text #1

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Data Index: 1510642 (Python Code)

Max Activating Token Index: 1012

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Text #2

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Max Act: 0.0486. Min Act: -0.0001

Data Index: 403293 (C4 (Web Text))

Max Activating Token Index: 519

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Text #3

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Data Index: 236617 (C4 (Web Text))

Max Activating Token Index: 480

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Text #4

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Data Index: 1578208 (Python Code)

Max Activating Token Index: 477

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Text #5

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Data Index: 670384 (C4 (Web Text))

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Text #6

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Data Index: 180955 (C4 (Web Text))

Max Activating Token Index: 677

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Text #7

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Data Index: 426469 (C4 (Web Text))

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Text #8

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Data Index: 1499667 (Python Code)

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Text #9

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Data Index: 1385878 (Python Code)

Max Activating Token Index: 1009

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Text #10

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Data Index: 189944 (C4 (Web Text))

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Text #11

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Data Index: 1429482 (Python Code)

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Text #12

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Data Index: 1548516 (Python Code)

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Text #13

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Data Index: 721945 (C4 (Web Text))

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Text #14

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Data Index: 1366938 (Python Code)

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Text #15

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Data Index: 1043026 (C4 (Web Text))

Max Activating Token Index: 991

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Text #16

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Data Index: 564161 (C4 (Web Text))

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Text #17

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Data Index: 1161340 (C4 (Web Text))

Max Activating Token Index: 620

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Text #18

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Data Index: 1493681 (Python Code)

Max Activating Token Index: 1008

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Text #19

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Data Index: 1476341 (Python Code)

Max Activating Token Index: 393

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