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

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

Neuron 2601 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0003

Data Index: 1163121 (C4 (Web Text))

Max Activating Token Index: 352

Text #1

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 257239 (C4 (Web Text))

Max Activating Token Index: 505

Text #2

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 598906 (C4 (Web Text))

Max Activating Token Index: 127

Text #3

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Max Act: 0.0080. Min Act: -0.0003

Data Index: 1173200 (C4 (Web Text))

Max Activating Token Index: 339

Text #4

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Max Act: 0.0080. Min Act: -0.0003

Data Index: 709169 (C4 (Web Text))

Max Activating Token Index: 536

Text #5

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Max Act: 0.0080. Min Act: -0.0003

Data Index: 1306306 (C4 (Web Text))

Max Activating Token Index: 558

Text #6

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Max Act: 0.0079. Min Act: -0.0003

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Max Activating Token Index: 374

Text #7

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Max Activating Token Index: 517

Text #8

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Max Activating Token Index: 386

Text #9

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Max Activating Token Index: 558

Text #10

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Max Activating Token Index: 540

Text #11

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Max Activating Token Index: 474

Text #12

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Max Activating Token Index: 1015

Text #13

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Max Activating Token Index: 570

Text #14

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Data Index: 631801 (C4 (Web Text))

Max Activating Token Index: 82

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 625

Text #18

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Max Act: 0.0078. Min Act: -0.0003

Data Index: 237556 (C4 (Web Text))

Max Activating Token Index: 649

Text #19

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Max Act: 0.0078. Min Act: -0.0003

Data Index: 170232 (C4 (Web Text))

Max Activating Token Index: 361