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

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

Neuron 25 in Layer 6

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0968. Min Act: -0.0000

Data Index: 196446 (C4 (Web Text))

Max Activating Token Index: 360

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Text #1

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Max Act: 0.0851. Min Act: -0.0000

Data Index: 880484 (C4 (Web Text))

Max Activating Token Index: 600

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Truncated

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Text #2

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Max Act: 0.0850. Min Act: -0.0000

Data Index: 339170 (C4 (Web Text))

Max Activating Token Index: 437

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Text #3

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Max Act: 0.0798. Min Act: -0.0000

Data Index: 928212 (C4 (Web Text))

Max Activating Token Index: 435

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Truncated

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Text #4

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Data Index: 1034850 (C4 (Web Text))

Max Activating Token Index: 400

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Truncated

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Text #5

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Data Index: 748779 (C4 (Web Text))

Max Activating Token Index: 120

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Text #6

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Data Index: 26509 (C4 (Web Text))

Max Activating Token Index: 746

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Truncated

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Text #7

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Data Index: 1115708 (C4 (Web Text))

Max Activating Token Index: 570

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Truncated

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Text #8

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Data Index: 146462 (C4 (Web Text))

Max Activating Token Index: 639

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Text #9

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Data Index: 151027 (C4 (Web Text))

Max Activating Token Index: 308

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Truncated

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Text #10

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Data Index: 96022 (C4 (Web Text))

Max Activating Token Index: 232

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 275106 (C4 (Web Text))

Max Activating Token Index: 833

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Text #13

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Data Index: 544449 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1208113 (C4 (Web Text))

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Text #15

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Data Index: 182971 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 28545 (C4 (Web Text))

Max Activating Token Index: 226

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Text #18

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Data Index: 1216620 (C4 (Web Text))

Max Activating Token Index: 712

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Truncated

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Text #19

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Data Index: 906853 (C4 (Web Text))

Max Activating Token Index: 77

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