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

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

Neuron 3126 in Layer 4

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



Text #0

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Max Act: 0.2716. Min Act: -0.0000

Data Index: 1481398 (Python Code)

Max Activating Token Index: 60

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Text #1

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Max Act: 0.2668. Min Act: -0.0001

Data Index: 86132 (C4 (Web Text))

Max Activating Token Index: 633

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Text #2

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Max Act: 0.2528. Min Act: -0.0001

Data Index: 243617 (C4 (Web Text))

Max Activating Token Index: 820

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Text #3

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Max Act: 0.2354. Min Act: -0.0000

Data Index: 1336963 (C4 (Web Text))

Max Activating Token Index: 730

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Truncated

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Text #4

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Max Act: 0.2384. Min Act: -0.0001

Data Index: 416839 (C4 (Web Text))

Max Activating Token Index: 346

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Text #5

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Data Index: 410905 (C4 (Web Text))

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Text #6

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Data Index: 1314908 (C4 (Web Text))

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Text #7

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Data Index: 171273 (C4 (Web Text))

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Text #8

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Data Index: 1561692 (Python Code)

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Text #9

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Data Index: 841337 (C4 (Web Text))

Max Activating Token Index: 845

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Text #10

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Data Index: 941498 (C4 (Web Text))

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Text #11

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Data Index: 730748 (C4 (Web Text))

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Text #12

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Data Index: 1261868 (C4 (Web Text))

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Text #13

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Data Index: 974126 (C4 (Web Text))

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Text #14

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Data Index: 621630 (C4 (Web Text))

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Text #15

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Data Index: 373068 (C4 (Web Text))

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Text #16

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Data Index: 1620505 (Python Code)

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Text #17

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Data Index: 1289033 (C4 (Web Text))

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Text #18

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Data Index: 336361 (C4 (Web Text))

Max Activating Token Index: 895

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Text #19

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Data Index: 307715 (C4 (Web Text))

Max Activating Token Index: 20

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