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

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

Neuron 608 in Layer 2

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

Text #0

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Max Act: 0.0547. Min Act: -0.0003

Data Index: 1565696 (Python Code)

Max Activating Token Index: 482

Text #1

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Max Act: 0.0512. Min Act: -0.0003

Data Index: 1553934 (Python Code)

Max Activating Token Index: 455

Text #2

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Max Act: 0.0486. Min Act: -0.0002

Data Index: 1574560 (Python Code)

Max Activating Token Index: 167

Text #3

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Max Act: 0.0468. Min Act: -0.0003

Data Index: 1536304 (Python Code)

Max Activating Token Index: 962

Text #4

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 1430670 (Python Code)

Max Activating Token Index: 107

Text #5

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Max Act: 0.0480. Min Act: -0.0002

Data Index: 42820 (C4 (Web Text))

Max Activating Token Index: 1015

Text #6

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Data Index: 1380412 (Python Code)

Max Activating Token Index: 398

Text #7

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Data Index: 773292 (C4 (Web Text))

Max Activating Token Index: 102

Text #8

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Max Activating Token Index: 835

Text #9

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Data Index: 1272559 (C4 (Web Text))

Max Activating Token Index: 695

Text #10

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Data Index: 1376766 (Python Code)

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Text #11

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Data Index: 1396083 (Python Code)

Max Activating Token Index: 438

Text #12

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Data Index: 1490791 (Python Code)

Max Activating Token Index: 948

Text #13

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Data Index: 1545284 (Python Code)

Max Activating Token Index: 484

Text #14

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Data Index: 1406298 (Python Code)

Max Activating Token Index: 515

Text #15

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Data Index: 1512047 (Python Code)

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Text #16

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Data Index: 1535148 (Python Code)

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Text #17

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Data Index: 109352 (C4 (Web Text))

Max Activating Token Index: 278

Text #18

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Data Index: 1413615 (Python Code)

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Text #19

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 1367942 (Python Code)

Max Activating Token Index: 932