Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 360 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0164. Min Act: -0.0004

Data Index: 899398 (C4 (Web Text))

Max Activating Token Index: 367

Text #1

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Max Activating Token Index: 269

Text #2

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Max Act: 0.0150. Min Act: -0.0005

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Max Activating Token Index: 469

Text #3

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Data Index: 398101 (C4 (Web Text))

Max Activating Token Index: 687

Text #4

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Max Activating Token Index: 551

Text #5

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Max Activating Token Index: 598

Text #6

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Max Activating Token Index: 638

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 260

Text #11

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Max Activating Token Index: 366

Text #12

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Max Activating Token Index: 235

Text #13

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Max Activating Token Index: 321

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: 301

Text #19

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Data Index: 630988 (C4 (Web Text))

Max Activating Token Index: 23