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

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

Neuron 1960 in Layer 4

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: 0.4900. Min Act: -0.0001

Data Index: 835322 (C4 (Web Text))

Max Activating Token Index: 945

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Text #1

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Max Act: 0.3855. Min Act: -0.0001

Data Index: 569470 (C4 (Web Text))

Max Activating Token Index: 92

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Text #2

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Max Act: 0.4119. Min Act: -0.0001

Data Index: 122531 (C4 (Web Text))

Max Activating Token Index: 138

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Text #3

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Max Act: 0.3679. Min Act: -0.0001

Data Index: 1486985 (Python Code)

Max Activating Token Index: 514

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Text #4

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Max Act: 0.3569. Min Act: -0.0001

Data Index: 865855 (C4 (Web Text))

Max Activating Token Index: 839

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Text #5

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Data Index: 1556592 (Python Code)

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Text #6

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Data Index: 1057313 (C4 (Web Text))

Max Activating Token Index: 408

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Text #7

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Data Index: 663685 (C4 (Web Text))

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Text #8

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Data Index: 90938 (C4 (Web Text))

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Text #9

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Data Index: 3588 (C4 (Web Text))

Max Activating Token Index: 865

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Text #10

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Text #11

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Text #12

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Data Index: 38062 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1123321 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 761196 (C4 (Web Text))

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Text #18

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Data Index: 1029880 (C4 (Web Text))

Max Activating Token Index: 410

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Text #19

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Data Index: 1096529 (C4 (Web Text))

Max Activating Token Index: 13

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