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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1729 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0645. Min Act: -0.0005

Data Index: 738180 (C4 (Web Text))

Max Activating Token Index: 267

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Text #1

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Max Act: 0.0588. Min Act: -0.0005

Data Index: 650537 (C4 (Web Text))

Max Activating Token Index: 365

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Text #2

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Max Act: 0.0514. Min Act: -0.0005

Data Index: 1011706 (C4 (Web Text))

Max Activating Token Index: 50

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Text #3

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Max Act: 0.0481. Min Act: -0.0005

Data Index: 92045 (C4 (Web Text))

Max Activating Token Index: 985

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Text #4

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Data Index: 1615417 (Python Code)

Max Activating Token Index: 909

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Text #5

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Data Index: 1432917 (Python Code)

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Text #6

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Data Index: 262507 (C4 (Web Text))

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Text #7

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Data Index: 569329 (C4 (Web Text))

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Text #8

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Data Index: 1273523 (C4 (Web Text))

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Text #9

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Data Index: 498149 (C4 (Web Text))

Max Activating Token Index: 850

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Text #10

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Data Index: 1445501 (Python Code)

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Text #11

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Data Index: 719311 (C4 (Web Text))

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Text #12

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Data Index: 496366 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1011526 (C4 (Web Text))

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Text #15

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Data Index: 382435 (C4 (Web Text))

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Text #16

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Data Index: 1125306 (C4 (Web Text))

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Text #17

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Data Index: 5810 (C4 (Web Text))

Max Activating Token Index: 850

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Text #18

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Data Index: 1116827 (C4 (Web Text))

Max Activating Token Index: 515

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Text #19

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Data Index: 767558 (C4 (Web Text))

Max Activating Token Index: 410

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