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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 17-GEMMASCOPE-RES-16K
    11. 1983
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    Explanations

    proper nouns, particularly names of companies, places, and organizations related to biotechnology and pharmaceuticals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 17-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_17/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dramatique
    -0.52
    djangoproject
    -0.52
     matéri
    -0.51
     inuti
    -0.51
     hebdomada
    -0.51
     izquierdo
    -0.50
     quelcon
    -0.49
     ovunque
    -0.48
    Geplaatst
    -0.48
    UNEP
    -0.48
    POSITIVE LOGITS
    addCriterion
    0.76
     Paglinawan
    0.66
    findpost
    0.65
     Италијани
    0.63
     />";
    0.63
     Group
    0.60
    "}>
    0.59
    tec
    0.59
     specialising
    0.59
     />';
    0.58
    Activations Density 0.425%

    No Known Activations