Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1409 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.1012. Min Act: -0.0002

Data Index: 1001783 (C4 (Web Text))

Max Activating Token Index: 614

Text #1

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Max Act: 0.0820. Min Act: -0.0002

Data Index: 820042 (C4 (Web Text))

Max Activating Token Index: 216

Text #2

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Data Index: 882244 (C4 (Web Text))

Max Activating Token Index: 957

Text #3

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Max Act: 0.0790. Min Act: -0.0002

Data Index: 793403 (C4 (Web Text))

Max Activating Token Index: 239

Text #4

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Data Index: 411815 (C4 (Web Text))

Max Activating Token Index: 962

Text #5

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Max Activating Token Index: 762

Text #6

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Data Index: 6394 (C4 (Web Text))

Max Activating Token Index: 571

Text #7

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Max Activating Token Index: 200

Text #8

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Data Index: 290101 (C4 (Web Text))

Max Activating Token Index: 323

Text #9

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Data Index: 727405 (C4 (Web Text))

Max Activating Token Index: 696

Text #10

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Data Index: 1098604 (C4 (Web Text))

Max Activating Token Index: 57

Text #11

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Max Activating Token Index: 974

Text #12

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Data Index: 1222413 (C4 (Web Text))

Max Activating Token Index: 124

Text #13

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Data Index: 108665 (C4 (Web Text))

Max Activating Token Index: 452

Text #14

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Data Index: 1100796 (C4 (Web Text))

Max Activating Token Index: 546

Text #15

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Max Activating Token Index: 125

Text #16

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Max Activating Token Index: 820

Text #17

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Data Index: 660187 (C4 (Web Text))

Max Activating Token Index: 120

Text #18

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Max Activating Token Index: 857

Text #19

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Data Index: 539210 (C4 (Web Text))

Max Activating Token Index: 925