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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 428 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0489. Min Act: -0.0001

Data Index: 1213491 (C4 (Web Text))

Max Activating Token Index: 763

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Text #1

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Max Act: 0.0471. Min Act: -0.0002

Data Index: 37357 (C4 (Web Text))

Max Activating Token Index: 332

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Text #2

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Max Act: 0.0406. Min Act: -0.0001

Data Index: 1168917 (C4 (Web Text))

Max Activating Token Index: 924

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Text #3

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Max Act: 0.0407. Min Act: -0.0001

Data Index: 1029227 (C4 (Web Text))

Max Activating Token Index: 592

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Text #4

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Data Index: 93282 (C4 (Web Text))

Max Activating Token Index: 643

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Text #5

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Data Index: 283251 (C4 (Web Text))

Max Activating Token Index: 894

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Text #6

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Data Index: 1296156 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1463913 (Python Code)

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Text #9

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Data Index: 358387 (C4 (Web Text))

Max Activating Token Index: 956

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Text #10

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Data Index: 873430 (C4 (Web Text))

Max Activating Token Index: 838

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Text #11

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Data Index: 1635542 (Python Code)

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Text #12

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Data Index: 895039 (C4 (Web Text))

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Text #13

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Data Index: 670461 (C4 (Web Text))

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Text #14

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Data Index: 650587 (C4 (Web Text))

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Text #15

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Data Index: 7670 (C4 (Web Text))

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Text #16

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Data Index: 1598756 (Python Code)

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Text #17

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Data Index: 841958 (C4 (Web Text))

Max Activating Token Index: 905

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Text #18

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Data Index: 141114 (C4 (Web Text))

Max Activating Token Index: 488

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Text #19

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Data Index: 39003 (C4 (Web Text))

Max Activating Token Index: 280

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