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

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

Neuron 26 in Layer 5

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



Text #0

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Max Act: 2.6610. Min Act: -0.0000

Data Index: 857732 (C4 (Web Text))

Max Activating Token Index: 309

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Text #1

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Data Index: 1347473 (C4 (Web Text))

Max Activating Token Index: 33

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Text #2

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Max Act: 2.2025. Min Act: -0.0000

Data Index: 279046 (C4 (Web Text))

Max Activating Token Index: 966

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Text #3

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Max Act: 2.0964. Min Act: -0.0000

Data Index: 330985 (C4 (Web Text))

Max Activating Token Index: 723

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Text #4

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Max Act: 2.0351. Min Act: -0.0000

Data Index: 431970 (C4 (Web Text))

Max Activating Token Index: 722

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Text #5

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Data Index: 482606 (C4 (Web Text))

Max Activating Token Index: 277

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Text #6

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Data Index: 839283 (C4 (Web Text))

Max Activating Token Index: 647

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Text #7

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Data Index: 659494 (C4 (Web Text))

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Text #8

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Data Index: 851024 (C4 (Web Text))

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Text #9

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Data Index: 211895 (C4 (Web Text))

Max Activating Token Index: 15

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Text #10

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Data Index: 473331 (C4 (Web Text))

Max Activating Token Index: 282

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Text #11

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Data Index: 143411 (C4 (Web Text))

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Text #12

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Data Index: 157274 (C4 (Web Text))

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Text #13

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Data Index: 344662 (C4 (Web Text))

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Text #14

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Data Index: 628122 (C4 (Web Text))

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Text #15

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Data Index: 521631 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 499447 (C4 (Web Text))

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Text #18

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Data Index: 1001115 (C4 (Web Text))

Max Activating Token Index: 635

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Text #19

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Data Index: 1230590 (C4 (Web Text))

Max Activating Token Index: 506

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