Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2932 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0534. Min Act: -0.0004

Data Index: 113792 (C4 (Web Text))

Max Activating Token Index: 692

Text #1

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Max Act: 0.0518. Min Act: -0.0004

Data Index: 835017 (C4 (Web Text))

Max Activating Token Index: 392

Text #2

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Max Act: 0.0529. Min Act: -0.0004

Data Index: 371267 (C4 (Web Text))

Max Activating Token Index: 131

Text #3

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Max Act: 0.0492. Min Act: -0.0004

Data Index: 1286506 (C4 (Web Text))

Max Activating Token Index: 346

Text #4

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Max Act: 0.0477. Min Act: -0.0004

Data Index: 1124399 (C4 (Web Text))

Max Activating Token Index: 445

Text #5

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Data Index: 724332 (C4 (Web Text))

Max Activating Token Index: 283

Text #6

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Max Activating Token Index: 119

Text #7

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Max Activating Token Index: 960

Text #8

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Max Activating Token Index: 338

Text #9

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Max Activating Token Index: 381

Text #10

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Max Activating Token Index: 159

Text #11

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Data Index: 931381 (C4 (Web Text))

Max Activating Token Index: 228

Text #12

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Data Index: 27720 (C4 (Web Text))

Max Activating Token Index: 181

Text #13

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Data Index: 796716 (C4 (Web Text))

Max Activating Token Index: 900

Text #14

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Data Index: 386203 (C4 (Web Text))

Max Activating Token Index: 960

Text #15

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Max Activating Token Index: 969

Text #16

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Text #17

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Max Activating Token Index: 93

Text #18

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Data Index: 66639 (C4 (Web Text))

Max Activating Token Index: 464

Text #19

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Data Index: 1239060 (C4 (Web Text))

Max Activating Token Index: 715