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

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

Neuron 1360 in Layer 2

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

Text #0

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Max Act: 0.0554. Min Act: -0.0003

Data Index: 1137095 (C4 (Web Text))

Max Activating Token Index: 38

Text #1

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Max Act: 0.0553. Min Act: -0.0003

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Max Activating Token Index: 550

Text #2

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Max Act: 0.0514. Min Act: -0.0003

Data Index: 148277 (C4 (Web Text))

Max Activating Token Index: 597

Text #3

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Max Act: 0.0511. Min Act: -0.0003

Data Index: 259913 (C4 (Web Text))

Max Activating Token Index: 497

Text #4

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Max Activating Token Index: 50

Text #5

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Max Activating Token Index: 411

Text #6

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Max Activating Token Index: 554

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Text #9

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Max Activating Token Index: 495

Text #10

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Max Activating Token Index: 580

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Max Activating Token Index: 582

Text #12

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Max Activating Token Index: 430

Text #13

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Max Activating Token Index: 388

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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Data Index: 448540 (C4 (Web Text))

Max Activating Token Index: 390

Text #19

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Data Index: 1285387 (C4 (Web Text))

Max Activating Token Index: 373