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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5686
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    Explanations

    specific plant names and their medicinal properties

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

    ending in "en", "an", or "in"

    np_acts-logits-general · gemini-2.0-flash

    word endings and chemical names

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    licy
    -0.48
    gy
    -0.48
    gasse
    -0.47
     Vordergrund
    -0.47
    ddy
    -0.46
    ẹo
    -0.46
    ty
    -0.45
    IFICATE
    -0.45
    rungsseite
    -0.45
     متحده
    -0.45
    POSITIVE LOGITS
    mcn
    0.75
    en
    0.73
    nnn
    0.73
    an
    0.72
    nnnn
    0.71
    ian
    0.71
    nen
    0.68
    xan
    0.66
    nsen
    0.65
    NNNN
    0.65
    Activations Density 2.826%

    No Known Activations