Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 211 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.1536. Min Range: -0.1536

Max Act: 0.1536. Min Act: -0.0003

Data Index: 1439805 (Python Code)

Max Activating Token Index: 137

Text #1

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Max Act: 0.1392. Min Act: -0.0003

Data Index: 1612050 (Python Code)

Max Activating Token Index: 355

Text #2

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Max Act: 0.1447. Min Act: -0.0003

Data Index: 1540610 (Python Code)

Max Activating Token Index: 103

Text #3

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Max Act: 0.1354. Min Act: -0.0003

Data Index: 1452745 (Python Code)

Max Activating Token Index: 359

Text #4

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Max Act: 0.1343. Min Act: -0.0003

Data Index: 1444807 (Python Code)

Max Activating Token Index: 416

Text #5

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Max Act: 0.1324. Min Act: -0.0003

Data Index: 1460766 (Python Code)

Max Activating Token Index: 350

Text #6

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Max Act: 0.1341. Min Act: -0.0003

Data Index: 1563798 (Python Code)

Max Activating Token Index: 627

Text #7

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Data Index: 1595545 (Python Code)

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Text #8

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Data Index: 1622832 (Python Code)

Max Activating Token Index: 386

Text #9

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Max Act: 0.1255. Min Act: -0.0003

Data Index: 1456553 (Python Code)

Max Activating Token Index: 357

Text #10

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Max Act: 0.1222. Min Act: -0.0003

Data Index: 444755 (C4 (Web Text))

Max Activating Token Index: 618

Text #11

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Data Index: 1603158 (Python Code)

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Text #12

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Data Index: 1456209 (Python Code)

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Text #13

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Data Index: 1489963 (Python Code)

Max Activating Token Index: 530

Text #14

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Max Act: 0.1283. Min Act: -0.0003

Data Index: 982695 (C4 (Web Text))

Max Activating Token Index: 410

Text #15

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Data Index: 1366616 (Python Code)

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Text #16

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Data Index: 1488712 (Python Code)

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Text #17

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Data Index: 1651019 (Python Code)

Max Activating Token Index: 356

Text #18

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Data Index: 1388066 (Python Code)

Max Activating Token Index: 271

Text #19

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Max Act: 0.1240. Min Act: -0.0003

Data Index: 1438197 (Python Code)

Max Activating Token Index: 783