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

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

Neuron 29 in Layer 2

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



Text #0

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 870754 (C4 (Web Text))

Max Activating Token Index: 999

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Text #1

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Data Index: 655005 (C4 (Web Text))

Max Activating Token Index: 1008

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Truncated

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Text #2

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Max Act: 0.0370. Min Act: -0.0002

Data Index: 829987 (C4 (Web Text))

Max Activating Token Index: 98

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Text #3

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Data Index: 476386 (C4 (Web Text))

Max Activating Token Index: 506

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Truncated

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Text #4

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Data Index: 1039423 (C4 (Web Text))

Max Activating Token Index: 384

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Truncated

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Text #5

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Data Index: 161886 (C4 (Web Text))

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Text #6

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Data Index: 651542 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 540698 (C4 (Web Text))

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Text #9

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Data Index: 246931 (C4 (Web Text))

Max Activating Token Index: 250

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Truncated

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Text #10

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Data Index: 1172830 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 166338 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1062626 (C4 (Web Text))

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Text #15

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Data Index: 295566 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1327135 (C4 (Web Text))

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Text #18

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Data Index: 176933 (C4 (Web Text))

Max Activating Token Index: 486

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Text #19

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Data Index: 361047 (C4 (Web Text))

Max Activating Token Index: 505

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