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

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

Neuron 2552 in Layer 0

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



Text #0

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Max Act: 0.3198. Min Act: -0.0003

Data Index: 1643779 (Python Code)

Max Activating Token Index: 659

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Text #1

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Max Act: 0.1539. Min Act: -0.0003

Data Index: 1483328 (Python Code)

Max Activating Token Index: 817

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Text #2

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Max Act: 0.1086. Min Act: -0.0003

Data Index: 1601652 (Python Code)

Max Activating Token Index: 97

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Text #3

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Max Act: 0.1019. Min Act: -0.0003

Data Index: 1529790 (Python Code)

Max Activating Token Index: 710

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Text #4

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Data Index: 1423316 (Python Code)

Max Activating Token Index: 77

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Text #5

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Data Index: 1635499 (Python Code)

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Text #6

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Data Index: 1378297 (Python Code)

Max Activating Token Index: 227

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Text #7

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Data Index: 483708 (C4 (Web Text))

Max Activating Token Index: 258

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Text #8

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Data Index: 1477346 (Python Code)

Max Activating Token Index: 890

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Text #9

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Data Index: 34057 (C4 (Web Text))

Max Activating Token Index: 26

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Text #10

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Data Index: 1566376 (Python Code)

Max Activating Token Index: 718

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Text #11

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Data Index: 1635544 (Python Code)

Max Activating Token Index: 438

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Text #12

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Data Index: 1655744 (Python Code)

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Text #13

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Data Index: 935352 (C4 (Web Text))

Max Activating Token Index: 818

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Text #14

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Data Index: 1596220 (Python Code)

Max Activating Token Index: 853

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Text #15

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Data Index: 1506777 (Python Code)

Max Activating Token Index: 534

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Text #16

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Data Index: 169061 (C4 (Web Text))

Max Activating Token Index: 965

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Text #17

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Data Index: 1578773 (Python Code)

Max Activating Token Index: 191

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Text #18

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Max Act: 0.0460. Min Act: -0.0003

Data Index: 198107 (C4 (Web Text))

Max Activating Token Index: 997

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Text #19

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Max Act: 0.0455. Min Act: -0.0003

Data Index: 1573658 (Python Code)

Max Activating Token Index: 959

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