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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2259 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.7170. Min Act: -0.0002

Data Index: 835850 (C4 (Web Text))

Max Activating Token Index: 67

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Text #1

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Data Index: 1284034 (C4 (Web Text))

Max Activating Token Index: 107

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Text #2

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Data Index: 286903 (C4 (Web Text))

Max Activating Token Index: 719

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Text #3

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Data Index: 316547 (C4 (Web Text))

Max Activating Token Index: 888

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Text #4

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Data Index: 72879 (C4 (Web Text))

Max Activating Token Index: 756

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Text #5

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Data Index: 1011011 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1181405 (C4 (Web Text))

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Text #9

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Data Index: 687219 (C4 (Web Text))

Max Activating Token Index: 130

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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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Text #16

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Text #17

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Text #18

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Data Index: 1491245 (Python Code)

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Text #19

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Data Index: 1385024 (Python Code)

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