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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 657 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 214838 (C4 (Web Text))

Max Activating Token Index: 14

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Text #1

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Max Act: 0.0330. Min Act: -0.0002

Data Index: 593163 (C4 (Web Text))

Max Activating Token Index: 172

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Truncated

Full Text #1


Text #2

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Max Act: 0.0308. Min Act: -0.0003

Data Index: 843419 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 1654079 (Python Code)

Max Activating Token Index: 162

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Truncated

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Text #4

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Max Act: 0.0294. Min Act: -0.0003

Data Index: 1306123 (C4 (Web Text))

Max Activating Token Index: 781

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Truncated

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Text #5

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Data Index: 284461 (C4 (Web Text))

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Text #6

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Data Index: 1629824 (Python Code)

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Truncated

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Text #7

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Data Index: 985144 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1006862 (C4 (Web Text))

Max Activating Token Index: 516

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Truncated

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Text #9

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Data Index: 468194 (C4 (Web Text))

Max Activating Token Index: 667

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Truncated

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Text #10

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Data Index: 657188 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 845440 (C4 (Web Text))

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Truncated

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Text #13

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Truncated

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Text #14

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Data Index: 172980 (C4 (Web Text))

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Text #15

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Data Index: 163663 (C4 (Web Text))

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Text #16

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Data Index: 117681 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 1416521 (Python Code)

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Text #18

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Data Index: 914079 (C4 (Web Text))

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Truncated

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Text #19

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Data Index: 405003 (C4 (Web Text))

Max Activating Token Index: 490

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