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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron activates on concrete product‐or‐item nouns (e.g. drive, battery, fabric, oils, LCD, walls).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
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    Negative Logits
     跳转
    0.48
    <unused615>
    0.48
     FOLLOWING
    0.47
    <unused2103>
    0.46
    <unused714>
    0.44
    <unused1147>
    0.44
    <unused276>
    0.44
    <unused1645>
    0.43
    ━━━━
    0.43
    <unused291>
    0.43
    POSITIVE LOGITS
     because
    0.55
    因为
    0.53
     replacements
    0.52
    because
    0.51
    因為
    0.51
     recc
    0.49
     ribbed
    0.48
     क्योंकि
    0.47
     bec
    0.47
     ones
    0.47
    Activations Density 0.000%

    No Known Activations