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

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

Neuron 155 in Layer 3

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

Text #0

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Max Act: 0.0603. Min Act: -0.0002

Data Index: 773429 (C4 (Web Text))

Max Activating Token Index: 333

Text #1

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Data Index: 643756 (C4 (Web Text))

Max Activating Token Index: 175

Text #2

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Data Index: 511932 (C4 (Web Text))

Max Activating Token Index: 949

Text #3

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Max Act: 0.0461. Min Act: -0.0002

Data Index: 387757 (C4 (Web Text))

Max Activating Token Index: 267

Text #4

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Data Index: 686533 (C4 (Web Text))

Max Activating Token Index: 920

Text #5

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Max Activating Token Index: 469

Text #6

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Max Activating Token Index: 985

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Max Activating Token Index: 447

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Max Activating Token Index: 459

Text #9

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Max Activating Token Index: 418

Text #10

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Max Activating Token Index: 293

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Max Activating Token Index: 817

Text #12

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Max Activating Token Index: 132

Text #13

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Max Activating Token Index: 369

Text #14

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Max Activating Token Index: 525

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 384

Text #18

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Max Activating Token Index: 95

Text #19

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Data Index: 186552 (C4 (Web Text))

Max Activating Token Index: 306