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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 379 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.2582. Min Act: -0.0001

Data Index: 914111 (C4 (Web Text))

Max Activating Token Index: 934

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Text #1

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Data Index: 872077 (C4 (Web Text))

Max Activating Token Index: 786

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Text #2

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Data Index: 766228 (C4 (Web Text))

Max Activating Token Index: 396

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Text #3

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Max Act: 0.2511. Min Act: -0.0000

Data Index: 735870 (C4 (Web Text))

Max Activating Token Index: 1013

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Truncated

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Text #4

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Data Index: 236453 (C4 (Web Text))

Max Activating Token Index: 991

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Text #5

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Data Index: 406301 (C4 (Web Text))

Max Activating Token Index: 1016

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Text #6

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Data Index: 1087780 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 621705 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1074282 (C4 (Web Text))

Max Activating Token Index: 449

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Text #9

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Data Index: 1441186 (Python Code)

Max Activating Token Index: 890

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Text #10

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Data Index: 1091722 (C4 (Web Text))

Max Activating Token Index: 436

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Truncated

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Text #11

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Data Index: 292723 (C4 (Web Text))

Max Activating Token Index: 876

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Text #12

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Data Index: 1031053 (C4 (Web Text))

Max Activating Token Index: 901

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Text #13

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Max Activating Token Index: 462

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Truncated

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Text #14

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Data Index: 56963 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1432903 (Python Code)

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Text #18

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Data Index: 377786 (C4 (Web Text))

Max Activating Token Index: 425

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Text #19

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Data Index: 1015360 (C4 (Web Text))

Max Activating Token Index: 520

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