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

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

Neuron 42 in Layer 3

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



Text #0

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Max Act: 1.9478. Min Act: -0.0001

Data Index: 728131 (C4 (Web Text))

Max Activating Token Index: 396

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Text #1

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Data Index: 1344173 (C4 (Web Text))

Max Activating Token Index: 288

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Text #2

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Data Index: 244977 (C4 (Web Text))

Max Activating Token Index: 46

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Text #3

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Data Index: 1280202 (C4 (Web Text))

Max Activating Token Index: 40

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Text #4

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Data Index: 422646 (C4 (Web Text))

Max Activating Token Index: 434

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Text #5

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Data Index: 493741 (C4 (Web Text))

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Text #6

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Data Index: 931059 (C4 (Web Text))

Max Activating Token Index: 545

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Text #7

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Data Index: 155352 (C4 (Web Text))

Max Activating Token Index: 51

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Text #8

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Data Index: 1121929 (C4 (Web Text))

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Text #9

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Data Index: 1310851 (C4 (Web Text))

Max Activating Token Index: 192

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Text #10

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Data Index: 1062412 (C4 (Web Text))

Max Activating Token Index: 645

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Text #11

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Text #12

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Data Index: 239347 (C4 (Web Text))

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Text #13

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Data Index: 1304946 (C4 (Web Text))

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Text #14

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Data Index: 894853 (C4 (Web Text))

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Text #15

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Data Index: 1240184 (C4 (Web Text))

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Text #16

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Data Index: 1038794 (C4 (Web Text))

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Text #17

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Data Index: 1057540 (C4 (Web Text))

Max Activating Token Index: 386

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Text #18

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Data Index: 361176 (C4 (Web Text))

Max Activating Token Index: 990

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Text #19

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Data Index: 1297394 (C4 (Web Text))

Max Activating Token Index: 482

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