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

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

Neuron 0 in Layer 3

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



Text #0

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Max Act: 0.4675. Min Act: -0.0002

Data Index: 1612600 (Python Code)

Max Activating Token Index: 91

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Text #1

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Data Index: 1642022 (Python Code)

Max Activating Token Index: 102

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Text #2

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Max Act: 0.4535. Min Act: -0.0002

Data Index: 1444200 (Python Code)

Max Activating Token Index: 110

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Text #3

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Max Act: 0.4350. Min Act: -0.0002

Data Index: 1650767 (Python Code)

Max Activating Token Index: 178

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Text #4

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Data Index: 1521438 (Python Code)

Max Activating Token Index: 446

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Text #5

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Data Index: 1654393 (Python Code)

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Data Index: 1563278 (Python Code)

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Text #7

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Data Index: 1537836 (Python Code)

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Text #8

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Data Index: 1457447 (Python Code)

Max Activating Token Index: 679

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Text #9

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Data Index: 1570986 (Python Code)

Max Activating Token Index: 829

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Text #10

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Data Index: 1451000 (Python Code)

Max Activating Token Index: 133

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Text #11

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Data Index: 1632485 (Python Code)

Max Activating Token Index: 707

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Text #12

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Data Index: 1405201 (Python Code)

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Text #13

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Text #14

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Data Index: 1443329 (Python Code)

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Text #15

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Data Index: 1494236 (Python Code)

Max Activating Token Index: 426

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Text #16

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Data Index: 1402679 (Python Code)

Max Activating Token Index: 810

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Text #17

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Data Index: 1558828 (Python Code)

Max Activating Token Index: 851

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Text #18

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Data Index: 1630446 (Python Code)

Max Activating Token Index: 737

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Text #19

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Data Index: 1476285 (Python Code)

Max Activating Token Index: 351

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