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

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

Neuron 4037 in Layer 6

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



Text #0

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Max Act: 0.1264. Min Act: -0.0000

Data Index: 827083 (C4 (Web Text))

Max Activating Token Index: 169

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Text #1

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Max Act: 0.1051. Min Act: -0.0000

Data Index: 491699 (C4 (Web Text))

Max Activating Token Index: 721

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Truncated

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Text #2

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Data Index: 896200 (C4 (Web Text))

Max Activating Token Index: 836

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Text #3

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Max Act: 0.0994. Min Act: -0.0000

Data Index: 1195364 (C4 (Web Text))

Max Activating Token Index: 438

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Truncated

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Text #4

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Max Act: 0.0948. Min Act: -0.0000

Data Index: 287198 (C4 (Web Text))

Max Activating Token Index: 23

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Truncated

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Text #5

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Data Index: 22131 (C4 (Web Text))

Max Activating Token Index: 355

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Text #6

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Data Index: 1192526 (C4 (Web Text))

Max Activating Token Index: 814

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Truncated

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Text #7

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Data Index: 570040 (C4 (Web Text))

Max Activating Token Index: 982

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Truncated

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Text #8

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Data Index: 166092 (C4 (Web Text))

Max Activating Token Index: 526

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Text #9

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Data Index: 760931 (C4 (Web Text))

Max Activating Token Index: 256

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Text #10

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Max Activating Token Index: 388

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 368671 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1065518 (C4 (Web Text))

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Text #18

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Max Act: 0.0739. Min Act: -0.0000

Data Index: 235704 (C4 (Web Text))

Max Activating Token Index: 890

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Text #19

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Data Index: 1136190 (C4 (Web Text))

Max Activating Token Index: 786

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