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

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

Neuron 2610 in Layer 7

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



Text #0

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Max Act: 0.2290. Min Act: -0.0000

Data Index: 223792 (C4 (Web Text))

Max Activating Token Index: 797

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Text #1

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Max Act: 0.2135. Min Act: -0.0000

Data Index: 1109553 (C4 (Web Text))

Max Activating Token Index: 61

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Truncated

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Text #2

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Max Act: 0.1824. Min Act: -0.0000

Data Index: 1009432 (C4 (Web Text))

Max Activating Token Index: 897

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Text #3

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Max Act: 0.1753. Min Act: -0.0000

Data Index: 349121 (C4 (Web Text))

Max Activating Token Index: 468

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Truncated

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Text #4

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Data Index: 548692 (C4 (Web Text))

Max Activating Token Index: 865

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Truncated

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Text #5

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Data Index: 1342829 (C4 (Web Text))

Max Activating Token Index: 228

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Text #6

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Data Index: 704505 (C4 (Web Text))

Max Activating Token Index: 718

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Truncated

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Text #7

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Data Index: 980870 (C4 (Web Text))

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Text #8

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Data Index: 1479433 (Python Code)

Max Activating Token Index: 68

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Text #9

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Data Index: 248855 (C4 (Web Text))

Max Activating Token Index: 946

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Text #10

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Data Index: 683580 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 533411 (C4 (Web Text))

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Text #13

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Data Index: 748486 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 105421 (C4 (Web Text))

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Text #16

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Data Index: 643915 (C4 (Web Text))

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Text #17

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Data Index: 1511528 (Python Code)

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Text #18

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Data Index: 174387 (C4 (Web Text))

Max Activating Token Index: 404

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Text #19

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Data Index: 981700 (C4 (Web Text))

Max Activating Token Index: 68

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