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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 39171
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    Explanations

    references to doctors or medical professionals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    names of doctors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nonUne
    -0.43
    ########.
    -0.39
    kháu
    -0.37
     NSCoder
    -0.32
    (!__
    -0.30
    KURZBESCHREIBUNG
    -0.30
     Automó
    -0.30
    __":
    -0.29
     Protección
    -0.29
    foque
    -0.29
    POSITIVE LOGITS
     Dr
    0.68
     scientist
    0.68
     scientists
    0.67
    scienti
    0.66
    Dr
    0.63
     Drs
    0.63
     FetchType
    0.59
     science
    0.58
     scientific
    0.57
    Scientists
    0.56
    Activations Density 0.066%

    No Known Activations