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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1646 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.2078. Min Act: -0.0001

Data Index: 1596324 (Python Code)

Max Activating Token Index: 747

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Text #1

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Data Index: 1624503 (Python Code)

Max Activating Token Index: 988

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Text #2

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Max Act: 0.1935. Min Act: -0.0000

Data Index: 1366803 (Python Code)

Max Activating Token Index: 183

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Text #3

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Max Act: 0.1732. Min Act: -0.0000

Data Index: 1387389 (Python Code)

Max Activating Token Index: 323

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Text #4

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Data Index: 1468669 (Python Code)

Max Activating Token Index: 1005

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Text #5

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Data Index: 1618634 (Python Code)

Max Activating Token Index: 983

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Text #6

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Data Index: 1490210 (Python Code)

Max Activating Token Index: 714

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Text #7

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Data Index: 1510797 (Python Code)

Max Activating Token Index: 556

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Text #8

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Data Index: 1373297 (Python Code)

Max Activating Token Index: 750

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Text #9

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Data Index: 1461823 (Python Code)

Max Activating Token Index: 244

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Text #10

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Data Index: 1036551 (C4 (Web Text))

Max Activating Token Index: 774

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Text #11

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Data Index: 1426639 (Python Code)

Max Activating Token Index: 943

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Text #12

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Data Index: 1564915 (Python Code)

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Text #13

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Data Index: 1548029 (Python Code)

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Text #14

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Data Index: 1106485 (C4 (Web Text))

Max Activating Token Index: 287

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Text #15

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Data Index: 1527470 (Python Code)

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Text #16

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Data Index: 251228 (C4 (Web Text))

Max Activating Token Index: 982

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Text #17

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Data Index: 1048449 (C4 (Web Text))

Max Activating Token Index: 481

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Text #18

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Data Index: 545377 (C4 (Web Text))

Max Activating Token Index: 556

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Text #19

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Max Act: 0.1346. Min Act: -0.0000

Data Index: 1505432 (Python Code)

Max Activating Token Index: 526

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