Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 435 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.1674. Min Act: -0.0002

Data Index: 1588827 (Python Code)

Max Activating Token Index: 289

Text #1

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Max Act: 0.1545. Min Act: -0.0002

Data Index: 809724 (C4 (Web Text))

Max Activating Token Index: 23

Text #2

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Max Act: 0.1571. Min Act: -0.0003

Data Index: 558823 (C4 (Web Text))

Max Activating Token Index: 487

Text #3

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Max Act: 0.1546. Min Act: -0.0003

Data Index: 1115172 (C4 (Web Text))

Max Activating Token Index: 392

Text #4

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Max Act: 0.1504. Min Act: -0.0003

Data Index: 513465 (C4 (Web Text))

Max Activating Token Index: 919

Text #5

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Data Index: 1035618 (C4 (Web Text))

Max Activating Token Index: 717

Text #6

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Data Index: 385529 (C4 (Web Text))

Max Activating Token Index: 211

Text #7

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Data Index: 1526263 (Python Code)

Max Activating Token Index: 628

Text #8

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Data Index: 1423999 (Python Code)

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Text #9

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Data Index: 1318931 (C4 (Web Text))

Max Activating Token Index: 262

Text #10

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Text #11

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Max Activating Token Index: 224

Text #12

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Max Activating Token Index: 184

Text #13

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Data Index: 186238 (C4 (Web Text))

Max Activating Token Index: 589

Text #14

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Max Activating Token Index: 109

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 423

Text #18

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Data Index: 763301 (C4 (Web Text))

Max Activating Token Index: 314

Text #19

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Data Index: 33947 (C4 (Web Text))

Max Activating Token Index: 203