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

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

Neuron 1656 in Layer 3

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



Text #0

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Max Act: 0.1475. Min Act: -0.0002

Data Index: 1512855 (Python Code)

Max Activating Token Index: 11

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Text #1

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Max Act: 0.1273. Min Act: -0.0002

Data Index: 955683 (C4 (Web Text))

Max Activating Token Index: 451

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Text #2

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Max Act: 0.1290. Min Act: -0.0002

Data Index: 1384433 (Python Code)

Max Activating Token Index: 10

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Text #3

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Max Act: 0.1172. Min Act: -0.0002

Data Index: 339408 (C4 (Web Text))

Max Activating Token Index: 401

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Truncated

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Text #4

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Data Index: 79545 (C4 (Web Text))

Max Activating Token Index: 354

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Text #5

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Data Index: 97719 (C4 (Web Text))

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Text #6

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Data Index: 1314549 (C4 (Web Text))

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Text #7

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Data Index: 397464 (C4 (Web Text))

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Text #8

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Data Index: 346464 (C4 (Web Text))

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Text #9

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Data Index: 872266 (C4 (Web Text))

Max Activating Token Index: 833

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Text #10

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Text #11

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Text #12

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Data Index: 191001 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 262109 (C4 (Web Text))

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Text #15

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Data Index: 1019334 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 599803 (C4 (Web Text))

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Text #18

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Data Index: 1227528 (C4 (Web Text))

Max Activating Token Index: 503

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Text #19

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Data Index: 769489 (C4 (Web Text))

Max Activating Token Index: 350

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