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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 500 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0729. Min Act: -0.0003

Data Index: 842945 (C4 (Web Text))

Max Activating Token Index: 676

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Text #1

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Max Act: 0.0674. Min Act: -0.0003

Data Index: 1656102 (Python Code)

Max Activating Token Index: 621

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Text #2

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Max Act: 0.0656. Min Act: -0.0003

Data Index: 1535085 (Python Code)

Max Activating Token Index: 95

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Text #3

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Max Act: 0.0647. Min Act: -0.0003

Data Index: 1386407 (Python Code)

Max Activating Token Index: 789

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Text #4

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Max Act: 0.0639. Min Act: -0.0003

Data Index: 1550240 (Python Code)

Max Activating Token Index: 722

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Text #5

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Max Act: 0.0636. Min Act: -0.0003

Data Index: 1469275 (Python Code)

Max Activating Token Index: 205

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Text #6

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Data Index: 1576583 (Python Code)

Max Activating Token Index: 663

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Text #7

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Data Index: 1434186 (Python Code)

Max Activating Token Index: 207

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Text #8

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Data Index: 1429121 (Python Code)

Max Activating Token Index: 546

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Text #9

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Max Act: 0.0577. Min Act: -0.0003

Data Index: 1369541 (Python Code)

Max Activating Token Index: 395

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Text #10

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Data Index: 1630749 (Python Code)

Max Activating Token Index: 475

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Text #11

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Data Index: 1462971 (Python Code)

Max Activating Token Index: 675

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Text #12

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Data Index: 1419274 (Python Code)

Max Activating Token Index: 566

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Text #13

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Data Index: 1458576 (Python Code)

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Text #14

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Data Index: 1506336 (Python Code)

Max Activating Token Index: 284

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Text #15

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Data Index: 1404729 (Python Code)

Max Activating Token Index: 414

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Text #16

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Data Index: 1647009 (Python Code)

Max Activating Token Index: 408

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Text #17

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Data Index: 1424808 (Python Code)

Max Activating Token Index: 720

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Text #18

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Data Index: 1624030 (Python Code)

Max Activating Token Index: 536

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Text #19

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Data Index: 1402118 (Python Code)

Max Activating Token Index: 783

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