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

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

Neuron 1074 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.1350. Min Act: -0.0001

Data Index: 1535077 (Python Code)

Max Activating Token Index: 859

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Text #1

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Max Act: 0.1318. Min Act: -0.0001

Data Index: 1390569 (Python Code)

Max Activating Token Index: 241

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Text #2

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Data Index: 1472684 (Python Code)

Max Activating Token Index: 835

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Text #3

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Data Index: 1440872 (Python Code)

Max Activating Token Index: 584

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Text #4

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Data Index: 1427634 (Python Code)

Max Activating Token Index: 560

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Text #5

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Max Act: 0.1229. Min Act: -0.0001

Data Index: 1068589 (C4 (Web Text))

Max Activating Token Index: 412

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Text #6

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Data Index: 1550705 (Python Code)

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Text #7

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Data Index: 1377086 (Python Code)

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Text #8

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Data Index: 721986 (C4 (Web Text))

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Text #9

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Data Index: 1556460 (Python Code)

Max Activating Token Index: 812

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Text #10

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Data Index: 1426067 (Python Code)

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Text #11

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Text #12

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Data Index: 1632000 (Python Code)

Max Activating Token Index: 708

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Text #13

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Data Index: 1654805 (Python Code)

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Text #14

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Data Index: 268254 (C4 (Web Text))

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Text #15

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Data Index: 1376173 (Python Code)

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Text #16

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Data Index: 1086276 (C4 (Web Text))

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Text #17

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Data Index: 1654144 (Python Code)

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Text #18

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Data Index: 1364129 (Python Code)

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Text #19

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Data Index: 903214 (C4 (Web Text))

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