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

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

Neuron 4336 in Layer 0

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

Text #0

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Max Act: 0.0435. Min Act: -0.0002

Data Index: 851059 (C4 (Web Text))

Max Activating Token Index: 5

Text #1

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Data Index: 159807 (C4 (Web Text))

Max Activating Token Index: 357

Text #2

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Max Act: 0.0409. Min Act: -0.0002

Data Index: 268323 (C4 (Web Text))

Max Activating Token Index: 892

Text #3

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 215673 (C4 (Web Text))

Max Activating Token Index: 15

Text #4

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Max Act: 0.0405. Min Act: -0.0002

Data Index: 444073 (C4 (Web Text))

Max Activating Token Index: 47

Text #5

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Data Index: 849357 (C4 (Web Text))

Max Activating Token Index: 96

Text #6

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Max Activating Token Index: 756

Text #7

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Max Activating Token Index: 247

Text #8

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Max Activating Token Index: 171

Text #9

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Max Activating Token Index: 366

Text #10

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Max Activating Token Index: 116

Text #11

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Max Activating Token Index: 882

Text #12

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Max Activating Token Index: 802

Text #13

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Max Activating Token Index: 7

Text #14

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Max Activating Token Index: 958

Text #15

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Max Activating Token Index: 603

Text #16

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Max Activating Token Index: 784

Text #17

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Data Index: 500093 (C4 (Web Text))

Max Activating Token Index: 585

Text #18

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Data Index: 248518 (C4 (Web Text))

Max Activating Token Index: 121

Text #19

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Data Index: 831710 (C4 (Web Text))

Max Activating Token Index: 710