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

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

Neuron 2093 in Layer 1

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



Text #0

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Max Act: 0.0812. Min Act: -0.0003

Data Index: 1642938 (Python Code)

Max Activating Token Index: 74

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Text #1

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Max Act: 0.0728. Min Act: -0.0004

Data Index: 935352 (C4 (Web Text))

Max Activating Token Index: 829

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Text #2

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Max Act: 0.0694. Min Act: -0.0003

Data Index: 1581104 (Python Code)

Max Activating Token Index: 474

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Text #3

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Max Act: 0.0658. Min Act: -0.0004

Data Index: 1616835 (Python Code)

Max Activating Token Index: 118

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Text #4

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Data Index: 1654767 (Python Code)

Max Activating Token Index: 582

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Text #5

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Data Index: 483708 (C4 (Web Text))

Max Activating Token Index: 268

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Text #6

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Data Index: 1439139 (Python Code)

Max Activating Token Index: 649

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Text #7

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Data Index: 1423316 (Python Code)

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Text #8

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Data Index: 1641948 (Python Code)

Max Activating Token Index: 392

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Text #9

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Data Index: 1530785 (Python Code)

Max Activating Token Index: 118

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Text #10

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Data Index: 1453741 (Python Code)

Max Activating Token Index: 447

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Text #11

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Data Index: 1546413 (Python Code)

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Text #12

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Data Index: 1362243 (Python Code)

Max Activating Token Index: 393

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Text #13

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Data Index: 1483370 (Python Code)

Max Activating Token Index: 562

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Text #14

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Data Index: 1643779 (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: 1517504 (Python Code)

Max Activating Token Index: 413

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Text #18

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Data Index: 1655824 (Python Code)

Max Activating Token Index: 406

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Text #19

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Data Index: 1369314 (Python Code)

Max Activating Token Index: 281

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