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

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

Neuron 313 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: 0.0050. Min Act: -0.0003

Data Index: 591585 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0043. Min Act: -0.0003

Data Index: 880644 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0041. Min Act: -0.0002

Data Index: 298275 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0040. Min Act: -0.0002

Data Index: 20438 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #4

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Data Index: 803091 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Data Index: 825807 (C4 (Web Text))

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Text #6

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Data Index: 1047930 (C4 (Web Text))

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Text #7

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Data Index: 435651 (C4 (Web Text))

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Text #8

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Data Index: 1456000 (Python Code)

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Text #9

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Data Index: 189416 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #10

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Data Index: 69831 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #11

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Data Index: 146949 (C4 (Web Text))

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Text #12

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Data Index: 76937 (C4 (Web Text))

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Text #13

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Data Index: 757208 (C4 (Web Text))

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Text #14

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Data Index: 1058202 (C4 (Web Text))

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Text #15

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Data Index: 1124339 (C4 (Web Text))

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Text #16

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Data Index: 135435 (C4 (Web Text))

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Text #17

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Data Index: 567756 (C4 (Web Text))

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Text #18

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Data Index: 684682 (C4 (Web Text))

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Text #19

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Data Index: 795600 (C4 (Web Text))

Max Activating Token Index: 1023

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