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

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

Neuron 3419 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: 0.0620. Min Act: -0.0002

Data Index: 1090054 (C4 (Web Text))

Max Activating Token Index: 890

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Text #1

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Data Index: 494679 (C4 (Web Text))

Max Activating Token Index: 323

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Text #2

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 86281 (C4 (Web Text))

Max Activating Token Index: 155

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Text #3

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Data Index: 1022493 (C4 (Web Text))

Max Activating Token Index: 780

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Text #4

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Data Index: 1082171 (C4 (Web Text))

Max Activating Token Index: 262

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Text #5

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Data Index: 1148654 (C4 (Web Text))

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Text #6

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Data Index: 708785 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1363488 (Python Code)

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Text #9

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Data Index: 397282 (C4 (Web Text))

Max Activating Token Index: 848

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Text #10

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Data Index: 724343 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 508472 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 951396 (C4 (Web Text))

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Text #15

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Data Index: 1328312 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 659926 (C4 (Web Text))

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Text #18

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Data Index: 979309 (C4 (Web Text))

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Text #19

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Data Index: 58578 (C4 (Web Text))

Max Activating Token Index: 559

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