Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1302 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0248. Min Act: -0.0004

Data Index: 646314 (C4 (Web Text))

Max Activating Token Index: 1006

Text #1

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Data Index: 1095634 (C4 (Web Text))

Max Activating Token Index: 505

Text #2

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Max Act: 0.0231. Min Act: -0.0004

Data Index: 333820 (C4 (Web Text))

Max Activating Token Index: 956

Text #3

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Max Act: 0.0228. Min Act: -0.0004

Data Index: 210254 (C4 (Web Text))

Max Activating Token Index: 175

Text #4

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Data Index: 273434 (C4 (Web Text))

Max Activating Token Index: 113

Text #5

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Data Index: 403746 (C4 (Web Text))

Max Activating Token Index: 19

Text #6

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Data Index: 619951 (C4 (Web Text))

Max Activating Token Index: 75

Text #7

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Max Activating Token Index: 222

Text #8

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Max Activating Token Index: 445

Text #9

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Max Activating Token Index: 902

Text #10

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Data Index: 256737 (C4 (Web Text))

Max Activating Token Index: 263

Text #11

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Max Activating Token Index: 885

Text #12

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Max Activating Token Index: 661

Text #13

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Data Index: 404870 (C4 (Web Text))

Max Activating Token Index: 1016

Text #14

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Data Index: 735858 (C4 (Web Text))

Max Activating Token Index: 571

Text #15

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Max Activating Token Index: 811

Text #16

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Max Activating Token Index: 65

Text #17

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Max Activating Token Index: 693

Text #18

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Max Activating Token Index: 323

Text #19

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Data Index: 1104725 (C4 (Web Text))

Max Activating Token Index: 117