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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1464 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 1.0438. Min Act: -0.0001

Data Index: 1366633 (Python Code)

Max Activating Token Index: 153

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Text #1

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Data Index: 1386671 (Python Code)

Max Activating Token Index: 152

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Text #2

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Max Act: 0.7258. Min Act: -0.0000

Data Index: 1520859 (Python Code)

Max Activating Token Index: 593

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Text #3

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Max Act: 0.6201. Min Act: -0.0001

Data Index: 1458403 (Python Code)

Max Activating Token Index: 270

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Text #4

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Data Index: 1411861 (Python Code)

Max Activating Token Index: 527

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Text #5

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Data Index: 1529834 (Python Code)

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Text #6

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Data Index: 510873 (C4 (Web Text))

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Text #7

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Data Index: 654953 (C4 (Web Text))

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Text #8

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Data Index: 1623644 (Python Code)

Max Activating Token Index: 748

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Text #9

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Data Index: 1392758 (Python Code)

Max Activating Token Index: 478

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Text #10

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Data Index: 1385033 (Python Code)

Max Activating Token Index: 850

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Text #11

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Data Index: 984837 (C4 (Web Text))

Max Activating Token Index: 434

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Text #12

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Data Index: 538895 (C4 (Web Text))

Max Activating Token Index: 545

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Text #13

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Data Index: 1635431 (Python Code)

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Text #14

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Data Index: 1412405 (Python Code)

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Text #15

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Data Index: 1031134 (C4 (Web Text))

Max Activating Token Index: 677

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Text #16

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Data Index: 1397241 (Python Code)

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Text #17

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Data Index: 1542392 (Python Code)

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Text #18

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Data Index: 1457023 (Python Code)

Max Activating Token Index: 604

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Text #19

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Data Index: 1484631 (Python Code)

Max Activating Token Index: 1005

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