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

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

Neuron 1953 in Layer 2

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

Text #0

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Max Act: 0.0410. Min Act: -0.0003

Data Index: 601074 (C4 (Web Text))

Max Activating Token Index: 158

Text #1

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 1261259 (C4 (Web Text))

Max Activating Token Index: 723

Text #2

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Max Act: 0.0386. Min Act: -0.0002

Data Index: 943744 (C4 (Web Text))

Max Activating Token Index: 414

Text #3

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Max Act: 0.0386. Min Act: -0.0003

Data Index: 1106814 (C4 (Web Text))

Max Activating Token Index: 363

Text #4

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Max Act: 0.0386. Min Act: -0.0002

Data Index: 564108 (C4 (Web Text))

Max Activating Token Index: 212

Text #5

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 1105390 (C4 (Web Text))

Max Activating Token Index: 264

Text #6

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Max Activating Token Index: 322

Text #7

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Data Index: 410278 (C4 (Web Text))

Max Activating Token Index: 614

Text #8

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Max Activating Token Index: 167

Text #9

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Max Activating Token Index: 671

Text #10

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Max Activating Token Index: 247

Text #11

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Max Activating Token Index: 957

Text #12

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Data Index: 431063 (C4 (Web Text))

Max Activating Token Index: 587

Text #13

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Data Index: 542212 (C4 (Web Text))

Max Activating Token Index: 738

Text #14

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Max Activating Token Index: 484

Text #15

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Text #16

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Max Activating Token Index: 60

Text #17

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Max Activating Token Index: 835

Text #18

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Max Activating Token Index: 951

Text #19

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Data Index: 818080 (C4 (Web Text))

Max Activating Token Index: 634