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

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

Neuron 1891 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: 0.0421. Min Act: -0.0002

Data Index: 1415189 (Python Code)

Max Activating Token Index: 526

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Text #1

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Data Index: 1454628 (Python Code)

Max Activating Token Index: 671

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Text #2

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 821817 (C4 (Web Text))

Max Activating Token Index: 759

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Text #3

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Data Index: 596326 (C4 (Web Text))

Max Activating Token Index: 663

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Text #4

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Data Index: 1305584 (C4 (Web Text))

Max Activating Token Index: 82

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Text #5

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Data Index: 1090700 (C4 (Web Text))

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Text #6

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Data Index: 123356 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 374289 (C4 (Web Text))

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Text #9

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Data Index: 1311883 (C4 (Web Text))

Max Activating Token Index: 896

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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: 1320780 (C4 (Web Text))

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Text #18

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Data Index: 458442 (C4 (Web Text))

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Text #19

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Data Index: 812470 (C4 (Web Text))

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