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

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

Neuron 5115 in Layer 7

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: 1.0287. Min Act: -0.0000

Data Index: 672230 (C4 (Web Text))

Max Activating Token Index: 562

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Text #1

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Data Index: 1204110 (C4 (Web Text))

Max Activating Token Index: 435

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Text #2

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Data Index: 159964 (C4 (Web Text))

Max Activating Token Index: 593

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Text #3

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Data Index: 986346 (C4 (Web Text))

Max Activating Token Index: 862

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Text #4

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Data Index: 1194959 (C4 (Web Text))

Max Activating Token Index: 712

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Text #5

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Data Index: 1146715 (C4 (Web Text))

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Text #6

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Data Index: 656660 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 342

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Text #8

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Data Index: 1232173 (C4 (Web Text))

Max Activating Token Index: 632

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Text #9

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Data Index: 1030998 (C4 (Web Text))

Max Activating Token Index: 617

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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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Max Activating Token Index: 533

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Text #14

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Text #15

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Data Index: 2131 (C4 (Web Text))

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Text #16

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Data Index: 99351 (C4 (Web Text))

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Text #17

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Data Index: 1132825 (C4 (Web Text))

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Text #18

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Max Act: 0.7873. Min Act: -0.0000

Data Index: 443285 (C4 (Web Text))

Max Activating Token Index: 418

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Text #19

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Data Index: 391583 (C4 (Web Text))

Max Activating Token Index: 57

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