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

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

Neuron 361 in Layer 2

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

Text #0

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Max Act: 0.0517. Min Act: -0.0003

Data Index: 1276585 (C4 (Web Text))

Max Activating Token Index: 229

Text #1

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Data Index: 814570 (C4 (Web Text))

Max Activating Token Index: 971

Text #2

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Max Act: 0.0498. Min Act: -0.0004

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Max Activating Token Index: 478

Text #3

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Max Act: 0.0479. Min Act: -0.0003

Data Index: 108289 (C4 (Web Text))

Max Activating Token Index: 956

Text #4

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Max Act: 0.0481. Min Act: -0.0003

Data Index: 1149780 (C4 (Web Text))

Max Activating Token Index: 97

Text #5

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Data Index: 140872 (C4 (Web Text))

Max Activating Token Index: 87

Text #6

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Text #7

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Max Activating Token Index: 958

Text #10

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Max Activating Token Index: 300

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Data Index: 415881 (C4 (Web Text))

Max Activating Token Index: 283

Text #12

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Text #13

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Max Activating Token Index: 233

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 891702 (C4 (Web Text))

Max Activating Token Index: 119