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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 28 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0082. Min Act: -0.0002

Data Index: 1640483 (Python Code)

Max Activating Token Index: 217

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Text #1

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Data Index: 1522226 (Python Code)

Max Activating Token Index: 228

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Text #2

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Data Index: 1601762 (Python Code)

Max Activating Token Index: 7

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Text #3

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Data Index: 1549410 (Python Code)

Max Activating Token Index: 41

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Text #4

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Data Index: 1606176 (Python Code)

Max Activating Token Index: 374

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Text #5

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Data Index: 1383233 (Python Code)

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Text #6

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Data Index: 76550 (C4 (Web Text))

Max Activating Token Index: 946

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Text #7

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Data Index: 1594828 (Python Code)

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Text #8

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Data Index: 1518533 (Python Code)

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Text #9

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Data Index: 1033286 (C4 (Web Text))

Max Activating Token Index: 307

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Text #10

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Data Index: 1600585 (Python Code)

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Text #11

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Data Index: 360800 (C4 (Web Text))

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Text #12

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Data Index: 250369 (C4 (Web Text))

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Text #13

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Data Index: 148374 (C4 (Web Text))

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Text #14

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Data Index: 58774 (C4 (Web Text))

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Text #15

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Data Index: 981699 (C4 (Web Text))

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Text #16

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Data Index: 1550924 (Python Code)

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Text #17

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Data Index: 1390776 (Python Code)

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Text #18

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Data Index: 1496242 (Python Code)

Max Activating Token Index: 278

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Text #19

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Data Index: 1449952 (Python Code)

Max Activating Token Index: 1022

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