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

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

Neuron 3052 in Layer 2

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: 0.1017. Min Act: -0.0003

Data Index: 168599 (C4 (Web Text))

Max Activating Token Index: 12

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Text #1

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Data Index: 643036 (C4 (Web Text))

Max Activating Token Index: 10

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Text #2

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Max Act: 0.0936. Min Act: -0.0003

Data Index: 639951 (C4 (Web Text))

Max Activating Token Index: 11

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Text #3

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Data Index: 765001 (C4 (Web Text))

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Text #4

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Data Index: 42023 (C4 (Web Text))

Max Activating Token Index: 17

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Text #5

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Data Index: 654931 (C4 (Web Text))

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Text #6

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Data Index: 12057 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 84343 (C4 (Web Text))

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Text #9

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Data Index: 1078265 (C4 (Web Text))

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Text #10

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Data Index: 491755 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 353467 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 681139 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 530200 (C4 (Web Text))

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Text #18

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Data Index: 140813 (C4 (Web Text))

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Text #19

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Data Index: 1457867 (Python Code)

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