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

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

Neuron 250 in Layer 1

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

Text #0

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Max Act: 0.0537. Min Act: -0.0004

Data Index: 253505 (C4 (Web Text))

Max Activating Token Index: 132

Text #1

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Max Act: 0.0544. Min Act: -0.0003

Data Index: 1306886 (C4 (Web Text))

Max Activating Token Index: 70

Text #2

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Max Act: 0.0546. Min Act: -0.0002

Data Index: 563926 (C4 (Web Text))

Max Activating Token Index: 331

Text #3

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Max Act: 0.0508. Min Act: -0.0003

Data Index: 1062353 (C4 (Web Text))

Max Activating Token Index: 647

Text #4

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Data Index: 654667 (C4 (Web Text))

Max Activating Token Index: 1017

Text #5

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Data Index: 506256 (C4 (Web Text))

Max Activating Token Index: 527

Text #6

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Data Index: 317800 (C4 (Web Text))

Max Activating Token Index: 427

Text #7

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Max Activating Token Index: 624

Text #8

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Max Activating Token Index: 1014

Text #9

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Max Activating Token Index: 659

Text #10

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Max Activating Token Index: 407

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Max Activating Token Index: 194

Text #12

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Max Activating Token Index: 636

Text #13

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Max Activating Token Index: 640

Text #14

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Max Activating Token Index: 736

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: 345

Text #19

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Data Index: 372800 (C4 (Web Text))

Max Activating Token Index: 469