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

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

Neuron 24 in Layer 5

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



Text #0

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Max Act: 0.1811. Min Act: -0.0001

Data Index: 665542 (C4 (Web Text))

Max Activating Token Index: 895

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Truncated

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Text #1

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Max Act: 0.1784. Min Act: -0.0001

Data Index: 789780 (C4 (Web Text))

Max Activating Token Index: 47

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Truncated

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Text #2

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Max Act: 0.1676. Min Act: -0.0001

Data Index: 50451 (C4 (Web Text))

Max Activating Token Index: 928

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Text #3

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Max Act: 0.1751. Min Act: -0.0001

Data Index: 233689 (C4 (Web Text))

Max Activating Token Index: 610

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Truncated

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Text #4

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Data Index: 383491 (C4 (Web Text))

Max Activating Token Index: 874

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Truncated

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Text #5

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Data Index: 1476949 (Python Code)

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Text #6

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Data Index: 1175157 (C4 (Web Text))

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Text #7

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Data Index: 682008 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 906587 (C4 (Web Text))

Max Activating Token Index: 621

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Text #9

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Data Index: 889969 (C4 (Web Text))

Max Activating Token Index: 232

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Text #10

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Data Index: 582134 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 72840 (C4 (Web Text))

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Text #13

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Data Index: 1181055 (C4 (Web Text))

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Text #14

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Data Index: 526302 (C4 (Web Text))

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Text #15

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Data Index: 770571 (C4 (Web Text))

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Text #16

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Data Index: 1185741 (C4 (Web Text))

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Text #17

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Data Index: 358259 (C4 (Web Text))

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Text #18

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Data Index: 517265 (C4 (Web Text))

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Text #19

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Data Index: 197192 (C4 (Web Text))

Max Activating Token Index: 533

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