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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1752 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1232. Min Act: -0.0002

Data Index: 1087579 (C4 (Web Text))

Max Activating Token Index: 63

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Text #1

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Max Act: 0.1085. Min Act: -0.0002

Data Index: 656330 (C4 (Web Text))

Max Activating Token Index: 519

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Text #2

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Max Act: 0.1180. Min Act: -0.0002

Data Index: 1091759 (C4 (Web Text))

Max Activating Token Index: 179

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Text #3

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Data Index: 748212 (C4 (Web Text))

Max Activating Token Index: 453

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Truncated

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Text #4

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Data Index: 1218082 (C4 (Web Text))

Max Activating Token Index: 750

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Text #5

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Data Index: 132793 (C4 (Web Text))

Max Activating Token Index: 131

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Text #6

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Data Index: 619079 (C4 (Web Text))

Max Activating Token Index: 388

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Text #7

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Data Index: 173630 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1126091 (C4 (Web Text))

Max Activating Token Index: 726

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Text #9

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Data Index: 1008636 (C4 (Web Text))

Max Activating Token Index: 566

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Text #10

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Data Index: 1161847 (C4 (Web Text))

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Text #11

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Data Index: 516107 (C4 (Web Text))

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Text #12

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Data Index: 596858 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 370780 (C4 (Web Text))

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Text #15

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Data Index: 1599725 (Python Code)

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Text #16

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Data Index: 20434 (C4 (Web Text))

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Text #17

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Data Index: 1058084 (C4 (Web Text))

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Text #18

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Data Index: 1428121 (Python Code)

Max Activating Token Index: 713

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Truncated

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Text #19

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Data Index: 450843 (C4 (Web Text))

Max Activating Token Index: 55

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