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

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

Neuron 2213 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: 0.9110. Min Act: -0.0001

Data Index: 100447 (C4 (Web Text))

Max Activating Token Index: 210

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Text #1

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Data Index: 1453033 (Python Code)

Max Activating Token Index: 425

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Text #2

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Max Act: 0.8203. Min Act: -0.0001

Data Index: 1254928 (C4 (Web Text))

Max Activating Token Index: 808

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Text #3

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Data Index: 1457104 (Python Code)

Max Activating Token Index: 181

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Text #4

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Data Index: 1429650 (Python Code)

Max Activating Token Index: 609

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Text #5

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Data Index: 1403248 (Python Code)

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Text #6

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Data Index: 1510543 (Python Code)

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Text #7

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Data Index: 893785 (C4 (Web Text))

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Text #8

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Data Index: 1572812 (Python Code)

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Text #9

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Data Index: 1384956 (Python Code)

Max Activating Token Index: 84

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Text #10

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Data Index: 1447170 (Python Code)

Max Activating Token Index: 386

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Text #11

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Data Index: 1614643 (Python Code)

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Text #12

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Max Activating Token Index: 848

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Text #13

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Text #14

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Data Index: 1649101 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 915259 (C4 (Web Text))

Max Activating Token Index: 240

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Text #18

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Data Index: 1537506 (Python Code)

Max Activating Token Index: 379

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Text #19

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Data Index: 1656940 (Python Code)

Max Activating Token Index: 929

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