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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 582 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.4843. Min Act: -0.0001

Data Index: 561589 (C4 (Web Text))

Max Activating Token Index: 660

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Text #1

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Max Act: 0.3783. Min Act: -0.0000

Data Index: 1531074 (Python Code)

Max Activating Token Index: 199

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Text #2

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Max Act: 0.4326. Min Act: -0.0001

Data Index: 103601 (C4 (Web Text))

Max Activating Token Index: 72

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Text #3

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Max Act: 0.4147. Min Act: -0.0001

Data Index: 103648 (C4 (Web Text))

Max Activating Token Index: 1012

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Truncated

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Text #4

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Max Act: 0.4362. Min Act: -0.0001

Data Index: 735132 (C4 (Web Text))

Max Activating Token Index: 988

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Truncated

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Text #5

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Data Index: 1241182 (C4 (Web Text))

Max Activating Token Index: 237

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Text #6

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Data Index: 193700 (C4 (Web Text))

Max Activating Token Index: 682

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Text #7

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Data Index: 348459 (C4 (Web Text))

Max Activating Token Index: 69

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Truncated

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Text #8

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Data Index: 784013 (C4 (Web Text))

Max Activating Token Index: 16

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Text #9

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Data Index: 777005 (C4 (Web Text))

Max Activating Token Index: 519

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Text #10

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Data Index: 383119 (C4 (Web Text))

Max Activating Token Index: 585

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Text #11

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Data Index: 930391 (C4 (Web Text))

Max Activating Token Index: 872

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Text #12

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Data Index: 1428418 (Python Code)

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Text #13

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Text #14

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Data Index: 1080548 (C4 (Web Text))

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Text #15

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Data Index: 824590 (C4 (Web Text))

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Text #16

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Data Index: 960279 (C4 (Web Text))

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Text #17

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Data Index: 560156 (C4 (Web Text))

Max Activating Token Index: 387

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Text #18

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Max Act: 0.3330. Min Act: -0.0001

Data Index: 450114 (C4 (Web Text))

Max Activating Token Index: 968

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Text #19

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Data Index: 1133110 (C4 (Web Text))

Max Activating Token Index: 732

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