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

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

Neuron 3022 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: 0.1997. Min Act: -0.0001

Data Index: 1286248 (C4 (Web Text))

Max Activating Token Index: 804

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Truncated

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Text #1

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Data Index: 551587 (C4 (Web Text))

Max Activating Token Index: 613

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Truncated

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Text #2

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Max Act: 0.2053. Min Act: -0.0001

Data Index: 1091891 (C4 (Web Text))

Max Activating Token Index: 482

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Truncated

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Text #3

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Data Index: 66631 (C4 (Web Text))

Max Activating Token Index: 738

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Truncated

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Text #4

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Max Act: 0.1989. Min Act: -0.0001

Data Index: 506800 (C4 (Web Text))

Max Activating Token Index: 792

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Truncated

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Text #5

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Data Index: 1261827 (C4 (Web Text))

Max Activating Token Index: 744

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Truncated

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Text #6

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Data Index: 596184 (C4 (Web Text))

Max Activating Token Index: 937

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 105550 (C4 (Web Text))

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Text #9

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Data Index: 1082435 (C4 (Web Text))

Max Activating Token Index: 859

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Truncated

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 647317 (C4 (Web Text))

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Text #13

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Truncated

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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: 358241 (C4 (Web Text))

Max Activating Token Index: 607

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Text #18

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Data Index: 875617 (C4 (Web Text))

Max Activating Token Index: 315

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Truncated

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Text #19

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Data Index: 535995 (C4 (Web Text))

Max Activating Token Index: 669

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