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

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

Neuron 261 in Layer 1

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

Text #0

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Max Act: 0.0325. Min Act: -0.0005

Data Index: 85712 (C4 (Web Text))

Max Activating Token Index: 373

Text #1

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Data Index: 1305038 (C4 (Web Text))

Max Activating Token Index: 427

Text #2

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Data Index: 393084 (C4 (Web Text))

Max Activating Token Index: 869

Text #3

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Max Act: 0.0330. Min Act: -0.0005

Data Index: 1254536 (C4 (Web Text))

Max Activating Token Index: 401

Text #4

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Data Index: 289307 (C4 (Web Text))

Max Activating Token Index: 394

Text #5

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Max Activating Token Index: 1009

Text #6

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Data Index: 434677 (C4 (Web Text))

Max Activating Token Index: 521

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 336

Text #10

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Text #11

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Text #12

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Max Activating Token Index: 347

Text #13

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Data Index: 409373 (C4 (Web Text))

Max Activating Token Index: 199

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 115

Text #19

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Data Index: 358946 (C4 (Web Text))

Max Activating Token Index: 509