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

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

Neuron 14 in Layer 2

Load this data into an Interactive Neuroscope

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



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Max Act: 0.0601. Min Act: -0.0002

Data Index: 104801 (C4 (Web Text))

Max Activating Token Index: 751

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Text #1

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Data Index: 1059882 (C4 (Web Text))

Max Activating Token Index: 167

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Text #2

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Data Index: 283430 (C4 (Web Text))

Max Activating Token Index: 966

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Text #3

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Text #4

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Data Index: 73798 (C4 (Web Text))

Max Activating Token Index: 878

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Text #5

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Data Index: 997352 (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: 421549 (C4 (Web Text))

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Text #9

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Data Index: 623841 (C4 (Web Text))

Max Activating Token Index: 758

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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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Text #18

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Data Index: 643009 (C4 (Web Text))

Max Activating Token Index: 861

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Text #19

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Data Index: 1034668 (C4 (Web Text))

Max Activating Token Index: 845

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