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

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

Neuron 1083 in Layer 0

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

Text #0

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Max Act: 0.0147. Min Act: -0.0006

Data Index: 1632533 (Python Code)

Max Activating Token Index: 21

Text #1

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Max Act: 0.0143. Min Act: -0.0005

Data Index: 1574312 (Python Code)

Max Activating Token Index: 21

Text #2

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Max Act: 0.0139. Min Act: -0.0006

Data Index: 1649657 (Python Code)

Max Activating Token Index: 7

Text #3

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Max Act: 0.0134. Min Act: -0.0006

Data Index: 432506 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0133. Min Act: -0.0005

Data Index: 1411619 (Python Code)

Max Activating Token Index: 40

Text #5

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Max Act: 0.0132. Min Act: -0.0007

Data Index: 102801 (C4 (Web Text))

Max Activating Token Index: 404

Text #6

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Data Index: 1550379 (Python Code)

Max Activating Token Index: 650

Text #7

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Data Index: 1153110 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Data Index: 1540849 (Python Code)

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Text #9

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Data Index: 1557288 (Python Code)

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Text #10

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Data Index: 1578860 (Python Code)

Max Activating Token Index: 479

Text #11

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Data Index: 1377229 (Python Code)

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Text #12

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Data Index: 422328 (C4 (Web Text))

Max Activating Token Index: 150

Text #13

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Data Index: 1382633 (Python Code)

Max Activating Token Index: 67

Text #14

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Data Index: 1467593 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1363565 (Python Code)

Max Activating Token Index: 298

Text #18

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Data Index: 743441 (C4 (Web Text))

Max Activating Token Index: 271

Text #19

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 1523157 (Python Code)

Max Activating Token Index: 826