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

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

Neuron 1244 in Layer 1

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

Text #0

Max Range: 0.0583. Min Range: -0.0583

Max Act: 0.0544. Min Act: -0.0006

Data Index: 1363125 (Python Code)

Max Activating Token Index: 910

Text #1

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Max Act: 0.0583. Min Act: -0.0006

Data Index: 1580157 (Python Code)

Max Activating Token Index: 994

Text #2

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Max Act: 0.0540. Min Act: -0.0006

Data Index: 1552119 (Python Code)

Max Activating Token Index: 900

Text #3

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Max Act: 0.0496. Min Act: -0.0006

Data Index: 1619077 (Python Code)

Max Activating Token Index: 967

Text #4

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Max Act: 0.0537. Min Act: -0.0006

Data Index: 1486594 (Python Code)

Max Activating Token Index: 789

Text #5

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Max Act: 0.0469. Min Act: -0.0006

Data Index: 1588125 (Python Code)

Max Activating Token Index: 807

Text #6

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Max Act: 0.0527. Min Act: -0.0006

Data Index: 1442912 (Python Code)

Max Activating Token Index: 166

Text #7

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Data Index: 1468989 (Python Code)

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Text #8

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Data Index: 1393783 (Python Code)

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Text #9

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Max Act: 0.0530. Min Act: -0.0006

Data Index: 1467582 (Python Code)

Max Activating Token Index: 779

Text #10

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Max Act: 0.0433. Min Act: -0.0006

Data Index: 1365904 (Python Code)

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Text #11

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Data Index: 1435514 (Python Code)

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Text #12

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Max Act: 0.0495. Min Act: -0.0006

Data Index: 1465966 (Python Code)

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Text #13

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Max Act: 0.0512. Min Act: -0.0006

Data Index: 1592059 (Python Code)

Max Activating Token Index: 411

Text #14

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Data Index: 1642578 (Python Code)

Max Activating Token Index: 888

Text #15

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Data Index: 1534572 (Python Code)

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Text #16

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Data Index: 1432394 (Python Code)

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Text #17

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Data Index: 1402888 (Python Code)

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Text #18

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Data Index: 1622224 (Python Code)

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Text #19

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Max Act: 0.0507. Min Act: -0.0006

Data Index: 1648556 (Python Code)

Max Activating Token Index: 439