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

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

Neuron 1631 in Layer 0

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

Text #0

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Max Act: 0.0232. Min Act: -0.0004

Data Index: 1155887 (C4 (Web Text))

Max Activating Token Index: 339

Text #1

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Max Activating Token Index: 52

Text #2

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Max Activating Token Index: 373

Text #3

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Data Index: 547159 (C4 (Web Text))

Max Activating Token Index: 124

Text #4

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Data Index: 1203728 (C4 (Web Text))

Max Activating Token Index: 361

Text #5

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Max Activating Token Index: 509

Text #6

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Max Activating Token Index: 683

Text #7

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Max Activating Token Index: 387

Text #8

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Text #9

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Max Activating Token Index: 861

Text #10

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Max Activating Token Index: 994

Text #11

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Max Activating Token Index: 391

Text #12

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Max Activating Token Index: 81

Text #13

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Max Activating Token Index: 220

Text #14

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Max Activating Token Index: 804

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 663

Text #19

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Data Index: 803091 (C4 (Web Text))

Max Activating Token Index: 760