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

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

Neuron 3130 in Layer 5

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

Text #0

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Max Act: 0.3892. Min Act: -0.0000

Data Index: 1522729 (Python Code)

Max Activating Token Index: 150

Text #1

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Max Act: 0.2595. Min Act: -0.0000

Data Index: 1487270 (Python Code)

Max Activating Token Index: 111

Text #2

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Data Index: 1552625 (Python Code)

Max Activating Token Index: 376

Text #3

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Max Act: 0.2126. Min Act: -0.0001

Data Index: 1486307 (Python Code)

Max Activating Token Index: 607

Text #4

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Max Act: 0.2234. Min Act: -0.0000

Data Index: 1472009 (Python Code)

Max Activating Token Index: 237

Text #5

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Data Index: 1461011 (Python Code)

Max Activating Token Index: 135

Text #6

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Data Index: 1196279 (C4 (Web Text))

Max Activating Token Index: 2

Text #7

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Data Index: 1653396 (Python Code)

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Text #8

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Data Index: 1372310 (Python Code)

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Text #9

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Data Index: 1447045 (Python Code)

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Text #10

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Data Index: 1553322 (Python Code)

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Text #11

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Data Index: 1620351 (Python Code)

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Text #12

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Data Index: 1502317 (Python Code)

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Text #13

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Data Index: 1478398 (Python Code)

Max Activating Token Index: 236

Text #14

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Data Index: 1555633 (Python Code)

Max Activating Token Index: 255

Text #15

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Data Index: 1066114 (C4 (Web Text))

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Text #16

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Data Index: 1597488 (Python Code)

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Text #17

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Data Index: 1580067 (Python Code)

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Text #18

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Data Index: 1168933 (C4 (Web Text))

Max Activating Token Index: 343

Text #19

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Max Act: 0.2279. Min Act: -0.0001

Data Index: 1418905 (Python Code)

Max Activating Token Index: 87