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

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

Neuron 368 in Layer 1

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

Text #0

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Max Act: 0.1220. Min Act: -0.0003

Data Index: 639736 (C4 (Web Text))

Max Activating Token Index: 169

Text #1

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Max Act: 0.0758. Min Act: -0.0003

Data Index: 983007 (C4 (Web Text))

Max Activating Token Index: 899

Text #2

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Max Act: 0.0768. Min Act: -0.0003

Data Index: 848409 (C4 (Web Text))

Max Activating Token Index: 226

Text #3

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Max Act: 0.0762. Min Act: -0.0002

Data Index: 909258 (C4 (Web Text))

Max Activating Token Index: 414

Text #4

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Data Index: 1009712 (C4 (Web Text))

Max Activating Token Index: 646

Text #5

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Data Index: 408804 (C4 (Web Text))

Max Activating Token Index: 967

Text #6

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Max Activating Token Index: 628

Text #7

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Max Activating Token Index: 929

Text #8

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Max Activating Token Index: 600

Text #9

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Max Activating Token Index: 78

Text #10

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Max Activating Token Index: 419

Text #11

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Max Activating Token Index: 292

Text #12

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Max Activating Token Index: 594

Text #13

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Max Activating Token Index: 332

Text #14

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Max Activating Token Index: 822

Text #15

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Text #16

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Data Index: 1575311 (Python Code)

Max Activating Token Index: 536

Text #17

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Max Activating Token Index: 387

Text #18

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Data Index: 633641 (C4 (Web Text))

Max Activating Token Index: 363

Text #19

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Data Index: 208594 (C4 (Web Text))

Max Activating Token Index: 180