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

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

Neuron 1867 in Layer 8

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.8498. Min Act: -0.0000

Data Index: 594364 (C4 (Web Text))

Max Activating Token Index: 975

Text #1

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Data Index: 78315 (C4 (Web Text))

Max Activating Token Index: 950

Text #2

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Data Index: 1566407 (Python Code)

Max Activating Token Index: 131

Text #3

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Data Index: 1465832 (Python Code)

Max Activating Token Index: 124

Text #4

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Data Index: 1023031 (C4 (Web Text))

Max Activating Token Index: 616

Text #5

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Data Index: 1465699 (Python Code)

Max Activating Token Index: 565

Text #6

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Max Activating Token Index: 238

Text #7

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Max Activating Token Index: 236

Text #8

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Max Activating Token Index: 1021

Text #9

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Data Index: 1463340 (Python Code)

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Text #10

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Data Index: 1160905 (C4 (Web Text))

Max Activating Token Index: 72

Text #11

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Data Index: 1376661 (Python Code)

Max Activating Token Index: 81

Text #12

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Max Activating Token Index: 874

Text #13

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Data Index: 1470029 (Python Code)

Max Activating Token Index: 447

Text #14

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Data Index: 895789 (C4 (Web Text))

Max Activating Token Index: 527

Text #15

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Text #16

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Data Index: 495153 (C4 (Web Text))

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Text #17

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Data Index: 1638784 (Python Code)

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Text #18

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Data Index: 1206063 (C4 (Web Text))

Max Activating Token Index: 941

Text #19

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Data Index: 1217248 (C4 (Web Text))

Max Activating Token Index: 561