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

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

Neuron 3011 in Layer 3

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: 0.1055. Min Act: -0.0001

Data Index: 1215593 (C4 (Web Text))

Max Activating Token Index: 788

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Text #1

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Data Index: 1273134 (C4 (Web Text))

Max Activating Token Index: 771

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Truncated

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Text #2

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Max Act: 0.0992. Min Act: -0.0001

Data Index: 767272 (C4 (Web Text))

Max Activating Token Index: 975

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Text #3

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Data Index: 960050 (C4 (Web Text))

Max Activating Token Index: 1011

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Truncated

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Text #4

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Data Index: 629196 (C4 (Web Text))

Max Activating Token Index: 504

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Truncated

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Text #5

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Data Index: 779418 (C4 (Web Text))

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Text #6

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Data Index: 712788 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1338675 (C4 (Web Text))

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Text #9

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Data Index: 177623 (C4 (Web Text))

Max Activating Token Index: 365

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Text #10

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Truncated

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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: 10216 (C4 (Web Text))

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Text #18

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Data Index: 1140947 (C4 (Web Text))

Max Activating Token Index: 676

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Text #19

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Data Index: 113726 (C4 (Web Text))

Max Activating Token Index: 866

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