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

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

Neuron 3313 in Layer 0

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

Text #0

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Max Act: 0.0104. Min Act: -0.0003

Data Index: 179980 (C4 (Web Text))

Max Activating Token Index: 47

Text #1

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Max Act: 0.0103. Min Act: -0.0003

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Max Activating Token Index: 274

Text #2

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Max Act: 0.0101. Min Act: -0.0003

Data Index: 440680 (C4 (Web Text))

Max Activating Token Index: 1016

Text #3

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Max Act: 0.0099. Min Act: -0.0003

Data Index: 119668 (C4 (Web Text))

Max Activating Token Index: 854

Text #4

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 271502 (C4 (Web Text))

Max Activating Token Index: 813

Text #5

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Max Activating Token Index: 226

Text #6

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Max Activating Token Index: 1000

Text #7

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Text #8

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Text #9

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Text #10

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Data Index: 128215 (C4 (Web Text))

Max Activating Token Index: 452

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Data Index: 849162 (C4 (Web Text))

Max Activating Token Index: 415

Text #12

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Max Activating Token Index: 48

Text #13

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Max Activating Token Index: 408

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 688447 (C4 (Web Text))

Max Activating Token Index: 139