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

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

Neuron 2994 in Layer 1

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

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Text #0

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Max Act: 0.0707. Min Act: -0.0002

Data Index: 414539 (C4 (Web Text))

Max Activating Token Index: 525

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Text #1

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Max Act: 0.0699. Min Act: -0.0002

Data Index: 658725 (C4 (Web Text))

Max Activating Token Index: 135

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Truncated

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Text #2

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Max Act: 0.0660. Min Act: -0.0002

Data Index: 1357418 (C4 (Web Text))

Max Activating Token Index: 333

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Truncated

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Text #3

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Data Index: 1044093 (C4 (Web Text))

Max Activating Token Index: 49

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Truncated

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Text #4

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Data Index: 219778 (C4 (Web Text))

Max Activating Token Index: 688

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Truncated

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Text #5

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Data Index: 853561 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 738154 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 857610 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 987577 (C4 (Web Text))

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Text #9

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Data Index: 644352 (C4 (Web Text))

Max Activating Token Index: 551

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Truncated

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Text #10

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Data Index: 761220 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 24497 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1164587 (C4 (Web Text))

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Text #13

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Data Index: 1232149 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1159603 (C4 (Web Text))

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Text #15

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Data Index: 1550946 (Python Code)

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Text #16

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Data Index: 457992 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 656638 (C4 (Web Text))

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Text #18

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Data Index: 625742 (C4 (Web Text))

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Text #19

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Data Index: 668605 (C4 (Web Text))

Max Activating Token Index: 135

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