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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14063
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    Explanations

    references to Roman-related topics or themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ollectionView
    -0.43
    eringer
    -0.40
    asis
    -0.38
     rosse
    -0.38
    Descripció
    -0.37
    abon
    -0.37
     podat
    -0.37
    stonia
    -0.36
    ביוגרפיה
    -0.36
    Дере
    -0.35
    POSITIVE LOGITS
     Roman
    0.94
     Rom
    0.90
    Roman
    0.83
     rom
    0.79
     ROMAN
    0.77
     roman
    0.74
    Rom
    0.74
     ROM
    0.72
     Román
    0.67
    Роман
    0.66
    Activations Density 0.081%

    No Known Activations