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

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

Neuron 2943 in Layer 2

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

Text #0

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Data Index: 1079224 (C4 (Web Text))

Max Activating Token Index: 52

Text #1

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Max Act: 0.0544. Min Act: -0.0002

Data Index: 284255 (C4 (Web Text))

Max Activating Token Index: 82

Text #2

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Max Act: 0.0513. Min Act: -0.0002

Data Index: 515412 (C4 (Web Text))

Max Activating Token Index: 942

Text #3

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Max Act: 0.0499. Min Act: -0.0002

Data Index: 482213 (C4 (Web Text))

Max Activating Token Index: 72

Text #4

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Max Act: 0.0500. Min Act: -0.0002

Data Index: 310756 (C4 (Web Text))

Max Activating Token Index: 166

Text #5

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Max Activating Token Index: 951

Text #6

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Max Activating Token Index: 678

Text #7

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Max Activating Token Index: 453

Text #8

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Max Activating Token Index: 807

Text #9

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Max Activating Token Index: 249

Text #10

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Max Activating Token Index: 169

Text #11

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Max Activating Token Index: 393

Text #12

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Data Index: 489121 (C4 (Web Text))

Max Activating Token Index: 805

Text #13

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Max Activating Token Index: 104

Text #14

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Max Activating Token Index: 185

Text #15

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Text #16

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Text #17

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Data Index: 322205 (C4 (Web Text))

Max Activating Token Index: 751

Text #18

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Data Index: 1444874 (Python Code)

Max Activating Token Index: 70

Text #19

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Data Index: 45834 (C4 (Web Text))

Max Activating Token Index: 265