Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1935 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0244. Min Act: -0.0003

Data Index: 1607340 (Python Code)

Max Activating Token Index: 816

Text #1

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 1380950 (Python Code)

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Text #2

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1477193 (Python Code)

Max Activating Token Index: 501

Text #3

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Max Act: 0.0197. Min Act: -0.0003

Data Index: 1597007 (Python Code)

Max Activating Token Index: 229

Text #4

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 1623696 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0180. Min Act: -0.0003

Data Index: 1539151 (Python Code)

Max Activating Token Index: 291

Text #6

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Data Index: 1325473 (C4 (Web Text))

Max Activating Token Index: 483

Text #7

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Data Index: 1652177 (Python Code)

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Text #8

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Data Index: 1419429 (Python Code)

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Data Index: 1576300 (Python Code)

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Text #10

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Data Index: 1585793 (Python Code)

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Text #11

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Data Index: 1480253 (Python Code)

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Text #12

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Data Index: 1509062 (Python Code)

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Text #13

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Data Index: 1599881 (Python Code)

Max Activating Token Index: 707

Text #14

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Data Index: 1438247 (Python Code)

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Text #15

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Data Index: 233116 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1386297 (Python Code)

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Text #18

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Data Index: 1593532 (Python Code)

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Text #19

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Data Index: 1617122 (Python Code)

Max Activating Token Index: 1005