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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 23 in Layer 7

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.2129. Min Act: -0.0000

Data Index: 325302 (C4 (Web Text))

Max Activating Token Index: 875

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Truncated

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Text #1

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Max Act: 0.1638. Min Act: -0.0001

Data Index: 397493 (C4 (Web Text))

Max Activating Token Index: 661

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Truncated

Full Text #1


Text #2

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Data Index: 1064027 (C4 (Web Text))

Max Activating Token Index: 710

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Truncated

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Text #3

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Data Index: 528266 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 1185363 (C4 (Web Text))

Max Activating Token Index: 610

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Truncated

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Text #5

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Data Index: 1090768 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 1209512 (C4 (Web Text))

Max Activating Token Index: 147

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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: 906677 (C4 (Web Text))

Max Activating Token Index: 212

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Truncated

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Text #9

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Data Index: 1195567 (C4 (Web Text))

Max Activating Token Index: 55

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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: 563325 (C4 (Web Text))

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Truncated

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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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Data Index: 194450 (C4 (Web Text))

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Truncated

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Text #16

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Truncated

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Text #17

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Data Index: 472965 (C4 (Web Text))

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Text #18

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Data Index: 1184637 (C4 (Web Text))

Max Activating Token Index: 898

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Truncated

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Text #19

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Data Index: 1150440 (C4 (Web Text))

Max Activating Token Index: 797

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