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

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

Neuron 985 in Layer 1

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



Text #0

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 1199879 (C4 (Web Text))

Max Activating Token Index: 987

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Text #1

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Data Index: 1280222 (C4 (Web Text))

Max Activating Token Index: 422

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Truncated

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Text #2

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Max Act: 0.0353. Min Act: -0.0003

Data Index: 905530 (C4 (Web Text))

Max Activating Token Index: 723

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Text #3

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Max Act: 0.0328. Min Act: -0.0003

Data Index: 1508900 (Python Code)

Max Activating Token Index: 5

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Text #4

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Data Index: 1340253 (C4 (Web Text))

Max Activating Token Index: 236

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Text #5

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Data Index: 687754 (C4 (Web Text))

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Text #6

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Data Index: 968246 (C4 (Web Text))

Max Activating Token Index: 803

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Text #7

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Data Index: 611940 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 384344 (C4 (Web Text))

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Text #9

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Data Index: 69840 (C4 (Web Text))

Max Activating Token Index: 562

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Text #10

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Data Index: 970005 (C4 (Web Text))

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Text #11

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Data Index: 665313 (C4 (Web Text))

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Text #12

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Data Index: 1306653 (C4 (Web Text))

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Text #13

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Data Index: 887307 (C4 (Web Text))

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Text #14

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Data Index: 707763 (C4 (Web Text))

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Text #15

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Data Index: 413644 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 671510 (C4 (Web Text))

Max Activating Token Index: 658

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Text #18

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Data Index: 1431726 (Python Code)

Max Activating Token Index: 987

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Text #19

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Data Index: 1376912 (Python Code)

Max Activating Token Index: 918

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