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

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

Neuron 1819 in Layer 6

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



Text #0

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Max Act: 1.1722. Min Act: -0.0000

Data Index: 1393610 (Python Code)

Max Activating Token Index: 284

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Text #1

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Max Act: 0.8636. Min Act: -0.0000

Data Index: 664513 (C4 (Web Text))

Max Activating Token Index: 776

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Text #2

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Max Act: 0.8868. Min Act: -0.0000

Data Index: 976489 (C4 (Web Text))

Max Activating Token Index: 20

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Text #3

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Max Act: 0.8798. Min Act: -0.0000

Data Index: 642656 (C4 (Web Text))

Max Activating Token Index: 761

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Text #4

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Data Index: 1007543 (C4 (Web Text))

Max Activating Token Index: 761

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Text #5

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Data Index: 558891 (C4 (Web Text))

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Text #6

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Data Index: 911169 (C4 (Web Text))

Max Activating Token Index: 45

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Text #7

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Data Index: 203448 (C4 (Web Text))

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Text #8

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Data Index: 1532316 (Python Code)

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Text #9

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Data Index: 509208 (C4 (Web Text))

Max Activating Token Index: 442

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Text #10

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Data Index: 871798 (C4 (Web Text))

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Text #11

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Data Index: 1374876 (Python Code)

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Text #12

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Data Index: 335684 (C4 (Web Text))

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Text #13

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Data Index: 994949 (C4 (Web Text))

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Text #14

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Data Index: 670567 (C4 (Web Text))

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Text #15

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Text #16

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Data Index: 1290736 (C4 (Web Text))

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Text #17

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Max Act: 0.6933. Min Act: -0.0000

Data Index: 144596 (C4 (Web Text))

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Text #18

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Data Index: 765684 (C4 (Web Text))

Max Activating Token Index: 370

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Text #19

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Data Index: 482203 (C4 (Web Text))

Max Activating Token Index: 220

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