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

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

Neuron 539 in Layer 1

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

Text #0

Max Range: 0.0304. Min Range: -0.0304

Max Act: 0.0304. Min Act: -0.0006

Data Index: 1459235 (Python Code)

Max Activating Token Index: 850

Text #1

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Max Act: 0.0300. Min Act: -0.0006

Data Index: 1633008 (Python Code)

Max Activating Token Index: 434

Text #2

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Max Act: 0.0280. Min Act: -0.0006

Data Index: 1384522 (Python Code)

Max Activating Token Index: 364

Text #3

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Max Act: 0.0275. Min Act: -0.0006

Data Index: 1634696 (Python Code)

Max Activating Token Index: 181

Text #4

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Max Act: 0.0279. Min Act: -0.0006

Data Index: 1598283 (Python Code)

Max Activating Token Index: 113

Text #5

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Max Act: 0.0272. Min Act: -0.0006

Data Index: 1547955 (Python Code)

Max Activating Token Index: 480

Text #6

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Data Index: 1520542 (Python Code)

Max Activating Token Index: 315

Text #7

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Data Index: 1596016 (Python Code)

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Text #8

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Data Index: 1435097 (Python Code)

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Text #9

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Data Index: 1367203 (Python Code)

Max Activating Token Index: 154

Text #10

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Data Index: 1507565 (Python Code)

Max Activating Token Index: 398

Text #11

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Data Index: 1370658 (Python Code)

Max Activating Token Index: 342

Text #12

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Data Index: 1469733 (Python Code)

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Text #13

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Data Index: 1397232 (Python Code)

Max Activating Token Index: 710

Text #14

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Data Index: 1464982 (Python Code)

Max Activating Token Index: 537

Text #15

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Data Index: 1639591 (Python Code)

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Text #16

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Data Index: 1569908 (Python Code)

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Text #17

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Data Index: 1620406 (Python Code)

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Text #18

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Data Index: 1627763 (Python Code)

Max Activating Token Index: 499

Text #19

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Max Act: 0.0260. Min Act: -0.0006

Data Index: 1616483 (Python Code)

Max Activating Token Index: 297