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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 414 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0827. Min Act: -0.0001

Data Index: 1224379 (C4 (Web Text))

Max Activating Token Index: 841

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Text #1

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Data Index: 84578 (C4 (Web Text))

Max Activating Token Index: 913

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Text #2

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Max Act: 0.0722. Min Act: -0.0001

Data Index: 1569220 (Python Code)

Max Activating Token Index: 425

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Text #3

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Max Act: 0.0691. Min Act: -0.0001

Data Index: 1129781 (C4 (Web Text))

Max Activating Token Index: 465

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Text #4

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Data Index: 1091340 (C4 (Web Text))

Max Activating Token Index: 18

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Text #5

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Data Index: 1505888 (Python Code)

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Text #6

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Data Index: 208412 (C4 (Web Text))

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Text #7

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Data Index: 1457740 (Python Code)

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Text #8

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Data Index: 510531 (C4 (Web Text))

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Text #9

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Data Index: 605288 (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: 816557 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 531445 (C4 (Web Text))

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Text #18

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Data Index: 718204 (C4 (Web Text))

Max Activating Token Index: 611

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Text #19

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Data Index: 859712 (C4 (Web Text))

Max Activating Token Index: 8

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