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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2043 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0582. Min Act: -0.0005

Data Index: 315264 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #1

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Data Index: 207888 (C4 (Web Text))

Max Activating Token Index: 238

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Text #2

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Max Act: 0.0498. Min Act: -0.0005

Data Index: 1307669 (C4 (Web Text))

Max Activating Token Index: 953

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Text #3

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Data Index: 262527 (C4 (Web Text))

Max Activating Token Index: 245

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Text #4

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Data Index: 302388 (C4 (Web Text))

Max Activating Token Index: 856

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Text #5

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Data Index: 737666 (C4 (Web Text))

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Text #6

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Data Index: 1334459 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 613846 (C4 (Web Text))

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Text #9

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Data Index: 521161 (C4 (Web Text))

Max Activating Token Index: 557

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 803994 (C4 (Web Text))

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Text #18

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Data Index: 11017 (C4 (Web Text))

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Text #19

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Data Index: 1033726 (C4 (Web Text))

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