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

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

Neuron 1506 in Layer 5

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



Text #0

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Max Act: 3.0682. Min Act: 0.0000

Data Index: 1557106 (Python Code)

Max Activating Token Index: 541

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Text #1

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Max Act: 2.8585. Min Act: -0.0001

Data Index: 497718 (C4 (Web Text))

Max Activating Token Index: 450

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Text #2

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Max Act: 2.4509. Min Act: -0.0001

Data Index: 777654 (C4 (Web Text))

Max Activating Token Index: 912

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Text #3

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Max Act: 2.6288. Min Act: -0.0001

Data Index: 1534499 (Python Code)

Max Activating Token Index: 846

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Text #4

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Data Index: 1397923 (Python Code)

Max Activating Token Index: 948

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Text #5

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Data Index: 1586816 (Python Code)

Max Activating Token Index: 610

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Text #6

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Data Index: 1411869 (Python Code)

Max Activating Token Index: 970

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Text #7

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Data Index: 1406668 (Python Code)

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Text #8

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Data Index: 1218603 (C4 (Web Text))

Max Activating Token Index: 350

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Text #9

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Data Index: 1211295 (C4 (Web Text))

Max Activating Token Index: 907

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Text #10

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Data Index: 1556330 (Python Code)

Max Activating Token Index: 659

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Text #11

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Data Index: 1388170 (Python Code)

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Text #12

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Data Index: 369963 (C4 (Web Text))

Max Activating Token Index: 788

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Text #13

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Data Index: 1445879 (Python Code)

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Text #14

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Data Index: 1574909 (Python Code)

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Text #15

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Text #16

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Data Index: 1491822 (Python Code)

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Text #17

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Data Index: 1504962 (Python Code)

Max Activating Token Index: 718

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Text #18

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Data Index: 1414364 (Python Code)

Max Activating Token Index: 864

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Text #19

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Data Index: 1423462 (Python Code)

Max Activating Token Index: 594

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