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

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

Neuron 1309 in Layer 0

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

Text #0

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Max Act: 0.0114. Min Act: -0.0004

Data Index: 1179158 (C4 (Web Text))

Max Activating Token Index: 310

Text #1

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Data Index: 813169 (C4 (Web Text))

Max Activating Token Index: 91

Text #2

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Data Index: 973038 (C4 (Web Text))

Max Activating Token Index: 1017

Text #3

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Max Act: 0.0107. Min Act: -0.0004

Data Index: 279222 (C4 (Web Text))

Max Activating Token Index: 400

Text #4

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Data Index: 986567 (C4 (Web Text))

Max Activating Token Index: 700

Text #5

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Data Index: 692319 (C4 (Web Text))

Max Activating Token Index: 250

Text #6

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Data Index: 441544 (C4 (Web Text))

Max Activating Token Index: 745

Text #7

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Max Activating Token Index: 675

Text #8

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Max Activating Token Index: 548

Text #9

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Data Index: 314130 (C4 (Web Text))

Max Activating Token Index: 133

Text #10

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Data Index: 492432 (C4 (Web Text))

Max Activating Token Index: 471

Text #11

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Max Activating Token Index: 488

Text #12

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Data Index: 341430 (C4 (Web Text))

Max Activating Token Index: 387

Text #13

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Data Index: 1245943 (C4 (Web Text))

Max Activating Token Index: 245

Text #14

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Data Index: 559933 (C4 (Web Text))

Max Activating Token Index: 61

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 388

Text #18

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Data Index: 235091 (C4 (Web Text))

Max Activating Token Index: 160

Text #19

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Data Index: 472166 (C4 (Web Text))

Max Activating Token Index: 724