Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1644 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 245149 (C4 (Web Text))

Max Activating Token Index: 344

Text #1

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Max Activating Token Index: 1023

Text #2

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 774410 (C4 (Web Text))

Max Activating Token Index: 369

Text #3

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Max Act: 0.0111. Min Act: -0.0006

Data Index: 1314238 (C4 (Web Text))

Max Activating Token Index: 636

Text #4

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Max Act: 0.0110. Min Act: -0.0006

Data Index: 127188 (C4 (Web Text))

Max Activating Token Index: 878

Text #5

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Max Activating Token Index: 908

Text #6

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Max Activating Token Index: 979

Text #7

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Max Activating Token Index: 578

Text #8

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Max Activating Token Index: 94

Text #9

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Max Activating Token Index: 748

Text #10

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Max Activating Token Index: 299

Text #11

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Data Index: 17479 (C4 (Web Text))

Max Activating Token Index: 586

Text #12

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Max Activating Token Index: 519

Text #13

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Data Index: 312195 (C4 (Web Text))

Max Activating Token Index: 453

Text #14

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Data Index: 439379 (C4 (Web Text))

Max Activating Token Index: 334

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 384

Text #18

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Max Activating Token Index: 246

Text #19

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Data Index: 564151 (C4 (Web Text))

Max Activating Token Index: 990