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

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

Neuron 1760 in Layer 1

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



Text #0

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Max Act: 0.0462. Min Act: -0.0003

Data Index: 1370181 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Data Index: 1635571 (Python Code)

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0443. Min Act: -0.0003

Data Index: 1467196 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Data Index: 1436464 (Python Code)

Max Activating Token Index: 1023

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Text #4

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Data Index: 744384 (C4 (Web Text))

Max Activating Token Index: 714

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Text #5

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Data Index: 1375545 (Python Code)

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Text #6

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Data Index: 478961 (C4 (Web Text))

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Text #7

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Data Index: 1364584 (Python Code)

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Text #8

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Data Index: 568000 (C4 (Web Text))

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Text #9

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Data Index: 1493531 (Python Code)

Max Activating Token Index: 651

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Text #10

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Data Index: 1380431 (Python Code)

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Text #11

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Data Index: 1594040 (Python Code)

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Text #12

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Data Index: 1201817 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #13

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Text #14

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Data Index: 1387050 (Python Code)

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Text #15

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Data Index: 1553017 (Python Code)

Max Activating Token Index: 1023

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Text #16

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Data Index: 1533217 (Python Code)

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Text #17

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Data Index: 331760 (C4 (Web Text))

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Text #18

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Data Index: 1520315 (Python Code)

Max Activating Token Index: 1023

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Text #19

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Data Index: 1501438 (Python Code)

Max Activating Token Index: 680

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