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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 235 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 1481561 (Python Code)

Max Activating Token Index: 10

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Text #1

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Max Act: 0.0380. Min Act: -0.0003

Data Index: 1450306 (Python Code)

Max Activating Token Index: 10

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Text #2

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 1580376 (Python Code)

Max Activating Token Index: 131

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Text #3

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Max Act: 0.0381. Min Act: -0.0003

Data Index: 1017115 (C4 (Web Text))

Max Activating Token Index: 667

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Text #4

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Data Index: 749892 (C4 (Web Text))

Max Activating Token Index: 117

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Text #5

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 1573905 (Python Code)

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Text #6

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Data Index: 1434517 (Python Code)

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Text #7

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Data Index: 244810 (C4 (Web Text))

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Text #8

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Data Index: 1201993 (C4 (Web Text))

Max Activating Token Index: 817

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Text #9

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Data Index: 733134 (C4 (Web Text))

Max Activating Token Index: 642

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Text #10

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Data Index: 364210 (C4 (Web Text))

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Text #11

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Data Index: 479436 (C4 (Web Text))

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Text #12

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Data Index: 987072 (C4 (Web Text))

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Text #13

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Data Index: 1460800 (Python Code)

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Text #14

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Data Index: 833104 (C4 (Web Text))

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Text #15

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Data Index: 637600 (C4 (Web Text))

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Text #16

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Data Index: 1080999 (C4 (Web Text))

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Text #17

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Data Index: 875692 (C4 (Web Text))

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Text #18

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Data Index: 1434856 (Python Code)

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Text #19

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Data Index: 1521815 (Python Code)

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