Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1430 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 849192 (C4 (Web Text))

Max Activating Token Index: 567

Text #1

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 564625 (C4 (Web Text))

Max Activating Token Index: 262

Text #2

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Max Act: 0.0074. Min Act: -0.0006

Data Index: 178338 (C4 (Web Text))

Max Activating Token Index: 557

Text #3

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 1289810 (C4 (Web Text))

Max Activating Token Index: 990

Text #4

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 497060 (C4 (Web Text))

Max Activating Token Index: 105

Text #5

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 1100280 (C4 (Web Text))

Max Activating Token Index: 651

Text #6

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 710281 (C4 (Web Text))

Max Activating Token Index: 528

Text #7

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Data Index: 721980 (C4 (Web Text))

Max Activating Token Index: 464

Text #8

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Data Index: 446541 (C4 (Web Text))

Max Activating Token Index: 408

Text #9

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Data Index: 880282 (C4 (Web Text))

Max Activating Token Index: 500

Text #10

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Max Act: 0.0065. Min Act: -0.0006

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Max Activating Token Index: 292

Text #11

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Max Activating Token Index: 774

Text #12

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Data Index: 103519 (C4 (Web Text))

Max Activating Token Index: 772

Text #13

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Max Activating Token Index: 947

Text #14

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Data Index: 253006 (C4 (Web Text))

Max Activating Token Index: 571

Text #15

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Max Activating Token Index: 435

Text #16

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Max Activating Token Index: 392

Text #17

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Max Activating Token Index: 871

Text #18

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Data Index: 1082625 (C4 (Web Text))

Max Activating Token Index: 292

Text #19

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Max Act: 0.0061. Min Act: -0.0005

Data Index: 288808 (C4 (Web Text))

Max Activating Token Index: 126