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

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

Neuron 79 in Layer 2

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



Text #0

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Max Act: 0.0657. Min Act: -0.0002

Data Index: 1253454 (C4 (Web Text))

Max Activating Token Index: 673

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Text #1

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Data Index: 1325841 (C4 (Web Text))

Max Activating Token Index: 21

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Text #2

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Data Index: 985454 (C4 (Web Text))

Max Activating Token Index: 106

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Text #3

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Max Act: 0.0549. Min Act: -0.0002

Data Index: 789266 (C4 (Web Text))

Max Activating Token Index: 935

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Truncated

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Text #4

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Data Index: 25638 (C4 (Web Text))

Max Activating Token Index: 141

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Truncated

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Text #5

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Data Index: 1244728 (C4 (Web Text))

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Text #6

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Data Index: 924565 (C4 (Web Text))

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Text #7

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Data Index: 1481004 (Python Code)

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Text #8

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Data Index: 18139 (C4 (Web Text))

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Text #9

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Data Index: 1111574 (C4 (Web Text))

Max Activating Token Index: 70

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Text #10

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Data Index: 611454 (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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Text #13

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Text #14

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Text #15

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Data Index: 64395 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Max Act: 0.0481. Min Act: -0.0002

Data Index: 134466 (C4 (Web Text))

Max Activating Token Index: 517

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Text #18

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Data Index: 895035 (C4 (Web Text))

Max Activating Token Index: 679

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Truncated

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Text #19

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Data Index: 1175799 (C4 (Web Text))

Max Activating Token Index: 982

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