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

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

Neuron 51 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0990. Min Act: -0.0001

Data Index: 764304 (C4 (Web Text))

Max Activating Token Index: 264

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Text #1

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Max Act: 0.0965. Min Act: -0.0001

Data Index: 310568 (C4 (Web Text))

Max Activating Token Index: 1005

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Truncated

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Text #2

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Data Index: 1073491 (C4 (Web Text))

Max Activating Token Index: 698

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Truncated

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Text #3

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Data Index: 379932 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 697240 (C4 (Web Text))

Max Activating Token Index: 1014

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Truncated

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Text #5

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Data Index: 304269 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 639499 (C4 (Web Text))

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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: 630965 (C4 (Web Text))

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Text #9

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Data Index: 85802 (C4 (Web Text))

Max Activating Token Index: 46

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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: 1133139 (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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Data Index: 54849 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 923466 (C4 (Web Text))

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Text #18

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Data Index: 309623 (C4 (Web Text))

Max Activating Token Index: 250

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Truncated

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Text #19

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Data Index: 147805 (C4 (Web Text))

Max Activating Token Index: 679

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