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

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

Neuron 828 in Layer 1

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

Text #0

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 1318254 (C4 (Web Text))

Max Activating Token Index: 160

Text #1

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Max Activating Token Index: 633

Text #2

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Max Activating Token Index: 112

Text #3

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Data Index: 420551 (C4 (Web Text))

Max Activating Token Index: 709

Text #4

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Max Activating Token Index: 1019

Text #5

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Max Activating Token Index: 118

Text #6

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Max Activating Token Index: 952

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 560

Text #10

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Max Activating Token Index: 809

Text #11

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Max Activating Token Index: 112

Text #12

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Max Activating Token Index: 686

Text #13

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Max Activating Token Index: 273

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 497

Text #17

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Max Activating Token Index: 530

Text #18

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Max Activating Token Index: 529

Text #19

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Data Index: 879592 (C4 (Web Text))

Max Activating Token Index: 149