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

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

Neuron 88 in Layer 1

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

Text #0

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Max Act: 0.0497. Min Act: -0.0003

Data Index: 651024 (C4 (Web Text))

Max Activating Token Index: 108

Text #1

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Data Index: 1041793 (C4 (Web Text))

Max Activating Token Index: 403

Text #2

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 538360 (C4 (Web Text))

Max Activating Token Index: 881

Text #3

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Max Act: 0.0437. Min Act: -0.0003

Data Index: 1003940 (C4 (Web Text))

Max Activating Token Index: 398

Text #4

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Data Index: 671090 (C4 (Web Text))

Max Activating Token Index: 887

Text #5

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Max Activating Token Index: 881

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 511

Text #9

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Max Activating Token Index: 646

Text #10

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Max Activating Token Index: 528

Text #12

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Max Activating Token Index: 252

Text #13

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Max Activating Token Index: 161

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 504

Text #18

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Data Index: 385106 (C4 (Web Text))

Max Activating Token Index: 127

Text #19

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Data Index: 437381 (C4 (Web Text))

Max Activating Token Index: 172