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

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

Neuron 270 in Layer 3

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

Text #0

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Data Index: 757938 (C4 (Web Text))

Max Activating Token Index: 330

Text #1

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Max Act: 0.0888. Min Act: -0.0002

Data Index: 1120225 (C4 (Web Text))

Max Activating Token Index: 403

Text #2

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Max Act: 0.0793. Min Act: -0.0002

Data Index: 421673 (C4 (Web Text))

Max Activating Token Index: 690

Text #3

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Max Act: 0.0773. Min Act: -0.0001

Data Index: 295367 (C4 (Web Text))

Max Activating Token Index: 192

Text #4

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Max Act: 0.0795. Min Act: -0.0002

Data Index: 147881 (C4 (Web Text))

Max Activating Token Index: 259

Text #5

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Max Activating Token Index: 862

Text #6

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Max Activating Token Index: 126

Text #7

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Data Index: 1317772 (C4 (Web Text))

Max Activating Token Index: 372

Text #8

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Data Index: 923315 (C4 (Web Text))

Max Activating Token Index: 164

Text #9

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Data Index: 614081 (C4 (Web Text))

Max Activating Token Index: 761

Text #10

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Max Activating Token Index: 73

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Data Index: 50108 (C4 (Web Text))

Max Activating Token Index: 251

Text #12

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Max Activating Token Index: 465

Text #13

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Data Index: 1257708 (C4 (Web Text))

Max Activating Token Index: 476

Text #14

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Data Index: 790297 (C4 (Web Text))

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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: 141

Text #18

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Data Index: 20105 (C4 (Web Text))

Max Activating Token Index: 665

Text #19

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Data Index: 1284154 (C4 (Web Text))

Max Activating Token Index: 761