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

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

Neuron 649 in Layer 1

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



Text #0

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Max Act: 0.0694. Min Act: -0.0003

Data Index: 538490 (C4 (Web Text))

Max Activating Token Index: 77

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Text #1

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Max Act: 0.0505. Min Act: -0.0003

Data Index: 595247 (C4 (Web Text))

Max Activating Token Index: 284

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Text #2

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Max Act: 0.0498. Min Act: -0.0003

Data Index: 864472 (C4 (Web Text))

Max Activating Token Index: 143

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Text #3

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Max Act: 0.0449. Min Act: -0.0003

Data Index: 691908 (C4 (Web Text))

Max Activating Token Index: 229

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Truncated

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Text #4

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Max Act: 0.0440. Min Act: -0.0003

Data Index: 1193646 (C4 (Web Text))

Max Activating Token Index: 613

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Truncated

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Text #5

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Data Index: 1001947 (C4 (Web Text))

Max Activating Token Index: 168

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Text #6

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Data Index: 1003838 (C4 (Web Text))

Max Activating Token Index: 164

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Truncated

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Text #7

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Data Index: 1318863 (C4 (Web Text))

Max Activating Token Index: 105

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Truncated

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Text #8

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Data Index: 916740 (C4 (Web Text))

Max Activating Token Index: 613

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Text #9

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Data Index: 486215 (C4 (Web Text))

Max Activating Token Index: 707

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Truncated

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Text #10

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Data Index: 999321 (C4 (Web Text))

Max Activating Token Index: 29

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Text #11

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Data Index: 1325100 (C4 (Web Text))

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Text #12

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Data Index: 286854 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 249267 (C4 (Web Text))

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Text #15

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Data Index: 627484 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1541759 (Python Code)

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Text #18

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Max Act: 0.0389. Min Act: -0.0003

Data Index: 906162 (C4 (Web Text))

Max Activating Token Index: 389

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Truncated

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Text #19

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Data Index: 1077030 (C4 (Web Text))

Max Activating Token Index: 23

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