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

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

Neuron 18 in Layer 5

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



Text #0

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Max Act: 0.2281. Min Act: -0.0001

Data Index: 6454 (C4 (Web Text))

Max Activating Token Index: 628

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Text #1

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Data Index: 475293 (C4 (Web Text))

Max Activating Token Index: 474

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Text #2

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Max Act: 0.2043. Min Act: -0.0001

Data Index: 1001091 (C4 (Web Text))

Max Activating Token Index: 769

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Text #3

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Data Index: 29694 (C4 (Web Text))

Max Activating Token Index: 208

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Truncated

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Text #4

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Max Act: 0.1985. Min Act: -0.0001

Data Index: 1110131 (C4 (Web Text))

Max Activating Token Index: 421

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Truncated

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Text #5

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Data Index: 278461 (C4 (Web Text))

Max Activating Token Index: 735

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Text #6

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Data Index: 1198863 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 955375 (C4 (Web Text))

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Text #9

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Data Index: 1070609 (C4 (Web Text))

Max Activating Token Index: 275

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Truncated

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 757610 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 254072 (C4 (Web Text))

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Text #19

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Data Index: 5255 (C4 (Web Text))

Max Activating Token Index: 571

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