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

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

Neuron 43 in Layer 3

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



Text #0

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Max Act: 0.1448. Min Act: -0.0001

Data Index: 575977 (C4 (Web Text))

Max Activating Token Index: 926

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Text #1

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Data Index: 162252 (C4 (Web Text))

Max Activating Token Index: 695

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Truncated

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Text #2

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Data Index: 243790 (C4 (Web Text))

Max Activating Token Index: 879

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Text #3

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Data Index: 1218007 (C4 (Web Text))

Max Activating Token Index: 714

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Truncated

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Text #4

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Data Index: 1197440 (C4 (Web Text))

Max Activating Token Index: 725

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Truncated

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Text #5

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Data Index: 917345 (C4 (Web Text))

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Text #6

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Data Index: 1208570 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 448293 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 415903 (C4 (Web Text))

Max Activating Token Index: 749

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Text #9

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Data Index: 1145414 (C4 (Web Text))

Max Activating Token Index: 459

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Truncated

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Text #10

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Text #11

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Data Index: 231680 (C4 (Web Text))

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Text #12

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Data Index: 153367 (C4 (Web Text))

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Text #13

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Data Index: 410659 (C4 (Web Text))

Max Activating Token Index: 937

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Truncated

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Text #14

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Text #15

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Data Index: 917074 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 989205 (C4 (Web Text))

Max Activating Token Index: 943

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Text #18

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Data Index: 547532 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #19

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Data Index: 842520 (C4 (Web Text))

Max Activating Token Index: 344

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