Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3360 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 696062 (C4 (Web Text))

Max Activating Token Index: 457

Text #1

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Data Index: 999787 (C4 (Web Text))

Max Activating Token Index: 685

Text #2

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Max Act: 0.0073. Min Act: -0.0000

Data Index: 469487 (C4 (Web Text))

Max Activating Token Index: 829

Text #3

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Max Act: 0.0070. Min Act: -0.0000

Data Index: 1460258 (Python Code)

Max Activating Token Index: 145

Text #4

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Data Index: 1618714 (Python Code)

Max Activating Token Index: 935

Text #5

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Max Act: 0.0060. Min Act: -0.0000

Data Index: 747298 (C4 (Web Text))

Max Activating Token Index: 958

Text #6

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Max Act: 0.0062. Min Act: -0.0000

Data Index: 790799 (C4 (Web Text))

Max Activating Token Index: 367

Text #7

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Data Index: 1510401 (Python Code)

Max Activating Token Index: 685

Text #8

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Data Index: 1510178 (Python Code)

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Text #9

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Data Index: 1582929 (Python Code)

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Text #10

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Data Index: 1360761 (Python Code)

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Text #11

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Data Index: 1635928 (Python Code)

Max Activating Token Index: 949

Text #12

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Data Index: 1313441 (C4 (Web Text))

Max Activating Token Index: 339

Text #13

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Data Index: 960467 (C4 (Web Text))

Max Activating Token Index: 599

Text #14

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Data Index: 1198460 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 593197 (C4 (Web Text))

Max Activating Token Index: 451

Text #18

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Data Index: 658759 (C4 (Web Text))

Max Activating Token Index: 444

Text #19

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Max Act: 0.0059. Min Act: -0.0000

Data Index: 1374127 (Python Code)

Max Activating Token Index: 26