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

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

Neuron 2329 in Layer 5

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



Text #0

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Max Act: 0.2437. Min Act: -0.0000

Data Index: 1163767 (C4 (Web Text))

Max Activating Token Index: 448

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Text #1

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Max Act: 0.2252. Min Act: -0.0000

Data Index: 1039756 (C4 (Web Text))

Max Activating Token Index: 739

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Text #2

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Max Act: 0.2036. Min Act: -0.0001

Data Index: 501900 (C4 (Web Text))

Max Activating Token Index: 245

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Text #3

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Max Act: 0.1994. Min Act: -0.0001

Data Index: 826694 (C4 (Web Text))

Max Activating Token Index: 915

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Truncated

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Text #4

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Data Index: 1494672 (Python Code)

Max Activating Token Index: 692

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Text #5

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Data Index: 167264 (C4 (Web Text))

Max Activating Token Index: 951

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Text #6

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Data Index: 488556 (C4 (Web Text))

Max Activating Token Index: 956

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Text #7

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Data Index: 827199 (C4 (Web Text))

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Text #8

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Data Index: 1475549 (Python Code)

Max Activating Token Index: 587

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Text #9

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Data Index: 718796 (C4 (Web Text))

Max Activating Token Index: 149

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Text #10

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Data Index: 348117 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 83753 (C4 (Web Text))

Max Activating Token Index: 695

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Text #13

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Data Index: 933332 (C4 (Web Text))

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Text #14

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Data Index: 133290 (C4 (Web Text))

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Text #15

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Data Index: 933271 (C4 (Web Text))

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Text #16

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Data Index: 622945 (C4 (Web Text))

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Text #17

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Data Index: 1508497 (Python Code)

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Text #18

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Max Act: 0.1754. Min Act: -0.0001

Data Index: 568003 (C4 (Web Text))

Max Activating Token Index: 981

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Text #19

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Max Act: 0.1630. Min Act: -0.0001

Data Index: 772833 (C4 (Web Text))

Max Activating Token Index: 516

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