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

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

Neuron 463 in Layer 0

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



Text #0

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Max Act: 0.0498. Min Act: -0.0003

Data Index: 1576074 (Python Code)

Max Activating Token Index: 673

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Text #1

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Data Index: 1460834 (Python Code)

Max Activating Token Index: 822

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Text #2

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 1367627 (Python Code)

Max Activating Token Index: 712

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Text #3

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Data Index: 1382705 (Python Code)

Max Activating Token Index: 876

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Text #4

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Data Index: 1603359 (Python Code)

Max Activating Token Index: 806

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Text #5

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Data Index: 1594374 (Python Code)

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Text #6

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Data Index: 1449148 (Python Code)

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Text #7

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Data Index: 1522435 (Python Code)

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Text #8

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Data Index: 1622199 (Python Code)

Max Activating Token Index: 515

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Text #9

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Data Index: 1370859 (Python Code)

Max Activating Token Index: 1004

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Text #10

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Data Index: 1578956 (Python Code)

Max Activating Token Index: 803

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Text #11

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Data Index: 1466117 (Python Code)

Max Activating Token Index: 722

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Text #12

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Data Index: 1378448 (Python Code)

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Text #13

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Data Index: 1647602 (Python Code)

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Text #14

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Data Index: 948071 (C4 (Web Text))

Max Activating Token Index: 587

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Text #15

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Data Index: 865175 (C4 (Web Text))

Max Activating Token Index: 911

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Text #16

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Data Index: 1594726 (Python Code)

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Text #17

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Data Index: 1461596 (Python Code)

Max Activating Token Index: 897

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Text #18

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Data Index: 1644748 (Python Code)

Max Activating Token Index: 786

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Text #19

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Data Index: 1550556 (Python Code)

Max Activating Token Index: 952

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