Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 748 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0309. Min Act: -0.0006

Data Index: 117916 (C4 (Web Text))

Max Activating Token Index: 260

Text #1

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Data Index: 1291842 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Data Index: 925897 (C4 (Web Text))

Max Activating Token Index: 4

Text #3

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Data Index: 80280 (C4 (Web Text))

Max Activating Token Index: 4

Text #4

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Data Index: 272765 (C4 (Web Text))

Max Activating Token Index: 3

Text #5

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Data Index: 1355781 (C4 (Web Text))

Max Activating Token Index: 3

Text #6

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Max Activating Token Index: 3

Text #7

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Max Activating Token Index: 3

Text #8

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Data Index: 1011998 (C4 (Web Text))

Max Activating Token Index: 2

Text #9

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Data Index: 1339895 (C4 (Web Text))

Max Activating Token Index: 20

Text #10

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Data Index: 657961 (C4 (Web Text))

Max Activating Token Index: 4

Text #11

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Max Activating Token Index: 176

Text #12

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Max Activating Token Index: 4

Text #13

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Data Index: 1095053 (C4 (Web Text))

Max Activating Token Index: 133

Text #14

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Data Index: 682511 (C4 (Web Text))

Max Activating Token Index: 107

Text #15

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Text #16

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Max Activating Token Index: 175

Text #17

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Max Activating Token Index: 35

Text #18

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Data Index: 359854 (C4 (Web Text))

Max Activating Token Index: 82

Text #19

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Data Index: 1145601 (C4 (Web Text))

Max Activating Token Index: 82