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

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

Neuron 61 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: 0.0705. Min Act: -0.0001

Data Index: 1354021 (C4 (Web Text))

Max Activating Token Index: 167

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Text #1

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Data Index: 823703 (C4 (Web Text))

Max Activating Token Index: 145

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Truncated

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Text #2

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Data Index: 697669 (C4 (Web Text))

Max Activating Token Index: 926

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Text #3

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Data Index: 384832 (C4 (Web Text))

Max Activating Token Index: 807

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Truncated

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Text #4

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Data Index: 663766 (C4 (Web Text))

Max Activating Token Index: 407

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Truncated

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Text #5

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Data Index: 26965 (C4 (Web Text))

Max Activating Token Index: 191

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Text #6

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Data Index: 873740 (C4 (Web Text))

Max Activating Token Index: 870

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 1341993 (C4 (Web Text))

Max Activating Token Index: 467

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Text #9

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Data Index: 1223461 (C4 (Web Text))

Max Activating Token Index: 30

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Truncated

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Text #10

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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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Text #13

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Text #14

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Text #15

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Data Index: 625038 (C4 (Web Text))

Max Activating Token Index: 834

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Text #16

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Text #17

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Data Index: 1027016 (C4 (Web Text))

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Text #18

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Data Index: 967881 (C4 (Web Text))

Max Activating Token Index: 724

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Text #19

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Data Index: 905440 (C4 (Web Text))

Max Activating Token Index: 684

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