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

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

Neuron 29 in Layer 3

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



Text #0

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Max Act: 0.1616. Min Act: -0.0002

Data Index: 1655556 (Python Code)

Max Activating Token Index: 649

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Text #1

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Data Index: 1454070 (Python Code)

Max Activating Token Index: 289

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Text #2

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Data Index: 1532163 (Python Code)

Max Activating Token Index: 845

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Text #3

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Data Index: 1612380 (Python Code)

Max Activating Token Index: 318

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Text #4

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Data Index: 1438663 (Python Code)

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Text #5

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Data Index: 9502 (C4 (Web Text))

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Text #6

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Data Index: 1367557 (Python Code)

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Text #7

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Text #8

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Data Index: 1114276 (C4 (Web Text))

Max Activating Token Index: 694

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Text #9

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Data Index: 848363 (C4 (Web Text))

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Text #10

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Data Index: 1491897 (Python Code)

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 110062 (C4 (Web Text))

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Text #18

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Data Index: 1303297 (C4 (Web Text))

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Text #19

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Data Index: 1427832 (Python Code)

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