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

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

Neuron 527 in Layer 1

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

Text #0

Max Range: 0.0332. Min Range: -0.0332

Max Act: 0.0332. Min Act: -0.0006

Data Index: 1462759 (Python Code)

Max Activating Token Index: 203

Text #1

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Max Act: 0.0313. Min Act: -0.0006

Data Index: 1587497 (Python Code)

Max Activating Token Index: 68

Text #2

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 1407624 (Python Code)

Max Activating Token Index: 324

Text #3

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 1520930 (Python Code)

Max Activating Token Index: 50

Text #4

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Max Act: 0.0301. Min Act: -0.0006

Data Index: 1614307 (Python Code)

Max Activating Token Index: 436

Text #5

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Max Act: 0.0295. Min Act: -0.0006

Data Index: 1373811 (Python Code)

Max Activating Token Index: 385

Text #6

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Max Act: 0.0299. Min Act: -0.0006

Data Index: 1633338 (Python Code)

Max Activating Token Index: 343

Text #7

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Data Index: 1382434 (Python Code)

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Text #8

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Data Index: 1563531 (Python Code)

Max Activating Token Index: 461

Text #9

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Data Index: 1462224 (Python Code)

Max Activating Token Index: 463

Text #10

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Data Index: 1485051 (Python Code)

Max Activating Token Index: 450

Text #11

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Data Index: 1383619 (Python Code)

Max Activating Token Index: 441

Text #12

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Data Index: 1383687 (Python Code)

Max Activating Token Index: 453

Text #13

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Data Index: 1454410 (Python Code)

Max Activating Token Index: 170

Text #14

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Data Index: 1468906 (Python Code)

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Text #15

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Data Index: 1574845 (Python Code)

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Text #16

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Data Index: 1581136 (Python Code)

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Text #17

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Data Index: 1550366 (Python Code)

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Text #18

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Data Index: 1630884 (Python Code)

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Text #19

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Max Act: 0.0266. Min Act: -0.0006

Data Index: 1374644 (Python Code)

Max Activating Token Index: 594