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

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

Neuron 1974 in Layer 1

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

Text #0

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Max Act: 0.0313. Min Act: -0.0003

Data Index: 431315 (C4 (Web Text))

Max Activating Token Index: 210

Text #1

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Max Act: 0.0304. Min Act: -0.0003

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Max Activating Token Index: 330

Text #2

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Max Activating Token Index: 798

Text #3

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 299227 (C4 (Web Text))

Max Activating Token Index: 359

Text #4

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Data Index: 611085 (C4 (Web Text))

Max Activating Token Index: 547

Text #5

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Max Activating Token Index: 917

Text #6

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Max Activating Token Index: 371

Text #7

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Max Activating Token Index: 449

Text #8

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Text #9

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Max Activating Token Index: 373

Text #10

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Data Index: 799190 (C4 (Web Text))

Max Activating Token Index: 159

Text #11

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Max Activating Token Index: 279

Text #12

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Max Activating Token Index: 650

Text #13

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Max Activating Token Index: 266

Text #14

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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: 988

Text #19

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Data Index: 254937 (C4 (Web Text))

Max Activating Token Index: 904