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

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

Neuron 2955 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: 0.1025. Min Act: -0.0001

Data Index: 56417 (C4 (Web Text))

Max Activating Token Index: 708

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Text #1

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Max Act: 0.0967. Min Act: -0.0001

Data Index: 950561 (C4 (Web Text))

Max Activating Token Index: 469

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Text #2

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Max Act: 0.0967. Min Act: -0.0001

Data Index: 1053129 (C4 (Web Text))

Max Activating Token Index: 224

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Text #3

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Max Act: 0.0952. Min Act: -0.0001

Data Index: 539546 (C4 (Web Text))

Max Activating Token Index: 42

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Text #4

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Data Index: 661651 (C4 (Web Text))

Max Activating Token Index: 869

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Text #5

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Data Index: 487946 (C4 (Web Text))

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Text #6

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Data Index: 1299872 (C4 (Web Text))

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Text #7

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Data Index: 239978 (C4 (Web Text))

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Text #8

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Data Index: 750709 (C4 (Web Text))

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Text #9

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Data Index: 623117 (C4 (Web Text))

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Text #10

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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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Data Index: 1515176 (Python Code)

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Text #16

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Text #17

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Data Index: 1190884 (C4 (Web Text))

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Text #18

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Data Index: 1293588 (C4 (Web Text))

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Text #19

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Data Index: 1544973 (Python Code)

Max Activating Token Index: 116

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