Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 244 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1618760 (Python Code)
Max Activating Token Index: 128
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Text #1
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Data Index: 326526 (C4 (Web Text))
Max Activating Token Index: 10
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Text #2
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Data Index: 1331170 (C4 (Web Text))
Max Activating Token Index: 26
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Text #3
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Data Index: 1596609 (Python Code)
Max Activating Token Index: 179
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Text #4
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Data Index: 823487 (C4 (Web Text))
Max Activating Token Index: 331
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Text #5
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Text #6
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Data Index: 772368 (C4 (Web Text))
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Text #7
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Text #8
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Text #9
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Data Index: 277527 (C4 (Web Text))
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Text #10
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Data Index: 383296 (C4 (Web Text))
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Text #11
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Data Index: 1197563 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 680284 (C4 (Web Text))
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Text #14
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Data Index: 872050 (C4 (Web Text))
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Text #15
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Data Index: 1265504 (C4 (Web Text))
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Text #16
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Data Index: 776563 (C4 (Web Text))
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Text #17
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Data Index: 231402 (C4 (Web Text))
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Text #18
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Data Index: 752659 (C4 (Web Text))
Max Activating Token Index: 383
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Text #19
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Data Index: 176499 (C4 (Web Text))
Max Activating Token Index: 321
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