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

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

Neuron 1927 in Layer 5

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: 0.2837. Min Act: -0.0001

Data Index: 771424 (C4 (Web Text))

Max Activating Token Index: 723

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Text #1

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Data Index: 339148 (C4 (Web Text))

Max Activating Token Index: 706

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Text #2

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Max Act: 0.2789. Min Act: -0.0001

Data Index: 31171 (C4 (Web Text))

Max Activating Token Index: 226

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Text #3

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Max Act: 0.2560. Min Act: -0.0000

Data Index: 1052577 (C4 (Web Text))

Max Activating Token Index: 977

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Text #4

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Data Index: 1432051 (Python Code)

Max Activating Token Index: 900

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Text #5

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Data Index: 899370 (C4 (Web Text))

Max Activating Token Index: 696

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Text #6

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Data Index: 1229731 (C4 (Web Text))

Max Activating Token Index: 838

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Text #7

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Text #8

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Data Index: 816668 (C4 (Web Text))

Max Activating Token Index: 537

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Text #9

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Data Index: 1645639 (Python Code)

Max Activating Token Index: 918

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Text #10

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Text #11

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Text #12

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Data Index: 1249983 (C4 (Web Text))

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Text #13

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Data Index: 507345 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 422206 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 711962 (C4 (Web Text))

Max Activating Token Index: 990

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Text #18

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Data Index: 69099 (C4 (Web Text))

Max Activating Token Index: 672

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Text #19

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Data Index: 30513 (C4 (Web Text))

Max Activating Token Index: 753

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