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

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

Neuron 1748 in Layer 5

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



Text #0

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Max Act: 0.0689. Min Act: -0.0000

Data Index: 437955 (C4 (Web Text))

Max Activating Token Index: 362

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Text #1

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Data Index: 573488 (C4 (Web Text))

Max Activating Token Index: 55

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Text #2

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Max Act: 0.0594. Min Act: -0.0000

Data Index: 795934 (C4 (Web Text))

Max Activating Token Index: 951

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Text #3

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Max Act: 0.0534. Min Act: -0.0000

Data Index: 683245 (C4 (Web Text))

Max Activating Token Index: 580

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Truncated

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Text #4

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Data Index: 942484 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Max Act: 0.0534. Min Act: -0.0000

Data Index: 1534030 (Python Code)

Max Activating Token Index: 276

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Text #6

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Data Index: 1086555 (C4 (Web Text))

Max Activating Token Index: 334

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Text #7

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Data Index: 125199 (C4 (Web Text))

Max Activating Token Index: 918

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Text #8

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Data Index: 1061569 (C4 (Web Text))

Max Activating Token Index: 490

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Text #9

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Data Index: 1547855 (Python Code)

Max Activating Token Index: 1008

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Text #10

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Data Index: 362084 (C4 (Web Text))

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Text #11

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Data Index: 339407 (C4 (Web Text))

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Text #12

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Data Index: 938036 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 435427 (C4 (Web Text))

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Text #15

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Data Index: 1285973 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1411361 (Python Code)

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Text #18

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Data Index: 351763 (C4 (Web Text))

Max Activating Token Index: 983

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Text #19

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Data Index: 388108 (C4 (Web Text))

Max Activating Token Index: 768

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