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

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

Neuron 2816 in Layer 5

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: 2.1328. Min Act: -0.0001

Data Index: 1252050 (C4 (Web Text))

Max Activating Token Index: 715

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Text #1

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Max Act: 1.9803. Min Act: -0.0001

Data Index: 593042 (C4 (Web Text))

Max Activating Token Index: 644

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Text #2

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Data Index: 1098105 (C4 (Web Text))

Max Activating Token Index: 153

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Text #3

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Data Index: 895476 (C4 (Web Text))

Max Activating Token Index: 645

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Text #4

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Max Act: 1.9027. Min Act: -0.0001

Data Index: 690050 (C4 (Web Text))

Max Activating Token Index: 745

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Text #5

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Data Index: 1334537 (C4 (Web Text))

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Text #6

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Data Index: 1237968 (C4 (Web Text))

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Text #7

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Data Index: 481532 (C4 (Web Text))

Max Activating Token Index: 858

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Text #8

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Data Index: 366020 (C4 (Web Text))

Max Activating Token Index: 857

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Text #9

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Data Index: 1020363 (C4 (Web Text))

Max Activating Token Index: 196

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Text #10

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Data Index: 648908 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1203265 (C4 (Web Text))

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Text #13

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Data Index: 857156 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 493050 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1379419 (Python Code)

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Text #18

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Data Index: 1584401 (Python Code)

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Text #19

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Data Index: 183563 (C4 (Web Text))

Max Activating Token Index: 329

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