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

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

Neuron 4580 in Layer 2

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: 0.0755. Min Act: -0.0002

Data Index: 692550 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #1

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Data Index: 348445 (C4 (Web Text))

Max Activating Token Index: 1014

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Text #2

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Max Act: 0.0490. Min Act: -0.0002

Data Index: 1188021 (C4 (Web Text))

Max Activating Token Index: 284

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Text #3

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Data Index: 885751 (C4 (Web Text))

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Text #4

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Data Index: 532759 (C4 (Web Text))

Max Activating Token Index: 585

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Text #5

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Data Index: 1207551 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1178836 (C4 (Web Text))

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Text #9

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Data Index: 1538330 (Python Code)

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 237791 (C4 (Web Text))

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Text #18

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Data Index: 795683 (C4 (Web Text))

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Text #19

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Data Index: 51492 (C4 (Web Text))

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