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

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

Neuron 3485 in Layer 3

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: 0.0989. Min Act: -0.0001

Data Index: 1334281 (C4 (Web Text))

Max Activating Token Index: 213

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Text #1

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Max Act: 0.0925. Min Act: -0.0001

Data Index: 822358 (C4 (Web Text))

Max Activating Token Index: 625

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Truncated

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Text #2

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Max Act: 0.0784. Min Act: -0.0001

Data Index: 1532225 (Python Code)

Max Activating Token Index: 227

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Text #3

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Max Act: 0.0844. Min Act: -0.0001

Data Index: 576586 (C4 (Web Text))

Max Activating Token Index: 7

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Truncated

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Text #4

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Max Act: 0.0814. Min Act: -0.0001

Data Index: 1279452 (C4 (Web Text))

Max Activating Token Index: 522

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Truncated

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Text #5

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Data Index: 1053812 (C4 (Web Text))

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Text #6

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Data Index: 441830 (C4 (Web Text))

Max Activating Token Index: 915

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Truncated

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Text #7

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Data Index: 950848 (C4 (Web Text))

Max Activating Token Index: 759

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Truncated

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Text #8

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Data Index: 100118 (C4 (Web Text))

Max Activating Token Index: 823

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Text #9

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Data Index: 563572 (C4 (Web Text))

Max Activating Token Index: 819

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Truncated

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Text #10

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Data Index: 1020284 (C4 (Web Text))

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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: 1332356 (C4 (Web Text))

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Text #13

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Data Index: 1629055 (Python Code)

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Text #14

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Data Index: 1009020 (C4 (Web Text))

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Text #15

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Data Index: 280207 (C4 (Web Text))

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Text #16

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Data Index: 1114696 (C4 (Web Text))

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Text #17

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Max Act: 0.0736. Min Act: -0.0001

Data Index: 811271 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #18

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Max Act: 0.0723. Min Act: -0.0001

Data Index: 157731 (C4 (Web Text))

Max Activating Token Index: 191

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Truncated

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Text #19

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Data Index: 1265011 (C4 (Web Text))

Max Activating Token Index: 205

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