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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0613. Min Act: -0.0005

Data Index: 64900 (C4 (Web Text))

Max Activating Token Index: 414

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Truncated

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Text #1

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Max Act: 0.0599. Min Act: -0.0005

Data Index: 1077554 (C4 (Web Text))

Max Activating Token Index: 411

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Truncated

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Text #2

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Max Act: 0.0611. Min Act: -0.0005

Data Index: 40178 (C4 (Web Text))

Max Activating Token Index: 275

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Text #3

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Max Act: 0.0541. Min Act: -0.0005

Data Index: 750799 (C4 (Web Text))

Max Activating Token Index: 485

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Truncated

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Text #4

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Max Act: 0.0522. Min Act: -0.0005

Data Index: 851414 (C4 (Web Text))

Max Activating Token Index: 818

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Truncated

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Text #5

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Data Index: 47863 (C4 (Web Text))

Max Activating Token Index: 147

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Text #6

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Data Index: 960216 (C4 (Web Text))

Max Activating Token Index: 877

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Truncated

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Text #7

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Data Index: 930815 (C4 (Web Text))

Max Activating Token Index: 847

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Truncated

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Text #8

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Data Index: 823493 (C4 (Web Text))

Max Activating Token Index: 507

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Text #9

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Data Index: 1220898 (C4 (Web Text))

Max Activating Token Index: 792

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Text #10

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Data Index: 875102 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 1174555 (C4 (Web Text))

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Text #12

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Data Index: 895594 (C4 (Web Text))

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Text #13

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Data Index: 334349 (C4 (Web Text))

Max Activating Token Index: 75

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Truncated

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Text #14

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Data Index: 1289163 (C4 (Web Text))

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Text #15

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Data Index: 995316 (C4 (Web Text))

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Text #16

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Data Index: 1281383 (C4 (Web Text))

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Text #17

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Data Index: 454800 (C4 (Web Text))

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Text #18

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Max Act: 0.0455. Min Act: -0.0005

Data Index: 795162 (C4 (Web Text))

Max Activating Token Index: 139

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Text #19

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Data Index: 162160 (C4 (Web Text))

Max Activating Token Index: 756

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