Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4043 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.2892. Min Act: -0.0001

Data Index: 1634423 (Python Code)

Max Activating Token Index: 799

Text #1

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Max Act: 0.2123. Min Act: -0.0001

Data Index: 1611760 (Python Code)

Max Activating Token Index: 954

Text #2

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Max Act: 0.2393. Min Act: -0.0001

Data Index: 1423690 (Python Code)

Max Activating Token Index: 71

Text #3

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Max Act: 0.2042. Min Act: -0.0001

Data Index: 1634330 (Python Code)

Max Activating Token Index: 944

Text #4

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Max Act: 0.1689. Min Act: -0.0001

Data Index: 1575009 (Python Code)

Max Activating Token Index: 279

Text #5

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Max Act: 0.2007. Min Act: -0.0001

Data Index: 1422060 (Python Code)

Max Activating Token Index: 186

Text #6

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Data Index: 1407666 (Python Code)

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Text #7

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Data Index: 1244066 (C4 (Web Text))

Max Activating Token Index: 17

Text #8

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Data Index: 1428364 (Python Code)

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Text #9

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Data Index: 1652217 (Python Code)

Max Activating Token Index: 453

Text #10

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Data Index: 1453557 (Python Code)

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Text #11

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Data Index: 1585692 (Python Code)

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Text #12

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Data Index: 1445183 (Python Code)

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Text #13

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Data Index: 1491111 (Python Code)

Max Activating Token Index: 328

Text #14

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Data Index: 1486791 (Python Code)

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Text #15

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Data Index: 1551718 (Python Code)

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Text #16

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Data Index: 1463651 (Python Code)

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Text #17

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Data Index: 1393406 (Python Code)

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Text #18

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Data Index: 1407695 (Python Code)

Max Activating Token Index: 478

Text #19

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Max Act: 0.1904. Min Act: -0.0000

Data Index: 190250 (C4 (Web Text))

Max Activating Token Index: 441