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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4088 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.7743. Min Act: -0.0001

Data Index: 1196607 (C4 (Web Text))

Max Activating Token Index: 9

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Text #1

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Max Act: 0.5859. Min Act: -0.0001

Data Index: 383119 (C4 (Web Text))

Max Activating Token Index: 288

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Text #2

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Max Act: 0.5533. Min Act: -0.0001

Data Index: 1220550 (C4 (Web Text))

Max Activating Token Index: 442

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Text #3

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Max Act: 0.5363. Min Act: -0.0001

Data Index: 1645530 (Python Code)

Max Activating Token Index: 896

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Text #4

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Max Act: 0.5544. Min Act: -0.0001

Data Index: 214063 (C4 (Web Text))

Max Activating Token Index: 917

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Text #5

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Data Index: 483700 (C4 (Web Text))

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Text #6

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Data Index: 1600456 (Python Code)

Max Activating Token Index: 721

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Text #7

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Data Index: 20348 (C4 (Web Text))

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Text #8

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Data Index: 183270 (C4 (Web Text))

Max Activating Token Index: 50

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Text #9

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Data Index: 430322 (C4 (Web Text))

Max Activating Token Index: 423

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Text #10

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Data Index: 1302303 (C4 (Web Text))

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Text #11

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Data Index: 789811 (C4 (Web Text))

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Text #12

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Data Index: 1291330 (C4 (Web Text))

Max Activating Token Index: 643

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Text #13

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Data Index: 1462520 (Python Code)

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Text #14

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Data Index: 1157444 (C4 (Web Text))

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Text #15

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Data Index: 1517747 (Python Code)

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Text #16

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Data Index: 718623 (C4 (Web Text))

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Text #17

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Data Index: 1477019 (Python Code)

Max Activating Token Index: 667

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Text #18

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Data Index: 1500836 (Python Code)

Max Activating Token Index: 609

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Text #19

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Max Act: 0.4853. Min Act: -0.0001

Data Index: 702427 (C4 (Web Text))

Max Activating Token Index: 9

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