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

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

Neuron 948 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: 0.0621. Min Act: -0.0001

Data Index: 242025 (C4 (Web Text))

Max Activating Token Index: 876

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Text #1

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Data Index: 489826 (C4 (Web Text))

Max Activating Token Index: 940

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Text #2

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Data Index: 750509 (C4 (Web Text))

Max Activating Token Index: 837

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Text #3

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Data Index: 170948 (C4 (Web Text))

Max Activating Token Index: 879

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Text #4

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Data Index: 1150400 (C4 (Web Text))

Max Activating Token Index: 947

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Text #5

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Data Index: 1108638 (C4 (Web Text))

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Text #6

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Data Index: 841541 (C4 (Web Text))

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Text #7

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Data Index: 1189085 (C4 (Web Text))

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Text #8

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Data Index: 820632 (C4 (Web Text))

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Text #9

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Data Index: 767787 (C4 (Web Text))

Max Activating Token Index: 852

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Text #10

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Data Index: 1379477 (Python Code)

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Text #11

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Text #12

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Data Index: 884177 (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: 856590 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1650184 (Python Code)

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Text #18

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Data Index: 883742 (C4 (Web Text))

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Text #19

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Data Index: 127587 (C4 (Web Text))

Max Activating Token Index: 970

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