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

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

Neuron 826 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0456. Min Act: -0.0003

Data Index: 37701 (C4 (Web Text))

Max Activating Token Index: 262

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Text #1

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Max Act: 0.0457. Min Act: -0.0003

Data Index: 534208 (C4 (Web Text))

Max Activating Token Index: 953

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Text #2

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Max Act: 0.0436. Min Act: -0.0003

Data Index: 1478495 (Python Code)

Max Activating Token Index: 45

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Text #3

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Data Index: 1539112 (Python Code)

Max Activating Token Index: 474

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Text #4

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Data Index: 233333 (C4 (Web Text))

Max Activating Token Index: 536

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Text #5

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Data Index: 1647322 (Python Code)

Max Activating Token Index: 36

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Text #6

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Data Index: 1463706 (Python Code)

Max Activating Token Index: 575

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Text #7

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Data Index: 1633300 (Python Code)

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Text #8

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Data Index: 1501808 (Python Code)

Max Activating Token Index: 364

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Text #9

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Data Index: 722532 (C4 (Web Text))

Max Activating Token Index: 770

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Text #10

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Data Index: 1544415 (Python Code)

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Text #11

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Max Activating Token Index: 670

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Text #12

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Max Activating Token Index: 371

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Text #13

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Text #14

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Data Index: 1182788 (C4 (Web Text))

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Text #15

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Data Index: 1422605 (Python Code)

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Text #16

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Data Index: 1623149 (Python Code)

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Text #17

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Data Index: 1401660 (Python Code)

Max Activating Token Index: 737

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Text #18

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Data Index: 1558485 (Python Code)

Max Activating Token Index: 704

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Text #19

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Data Index: 1479038 (Python Code)

Max Activating Token Index: 478

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