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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9899
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    Explanations

    specific descriptors and attributes related to cooking and food preparation

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

    preceding prepositions

    np_acts-logits-general · gemini-2.0-flash

    words followed by punctuation or prepositions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    きゃ
    -0.31
    XtraGrid
    -0.30
     rechazo
    -0.30
     verbunden
    -0.30
    筛
    -0.29
     sustancia
    -0.28
    还可以
    -0.28
     ángulo
    -0.28
    φαλ
    -0.28
    Shell
    -0.28
    POSITIVE LOGITS
     surla
    0.70
     disambiguazione
    0.69
    aarrggbb
    0.69
     AttributeSet
    0.63
    GenerationType
    0.62
    MLLoader
    0.62
    IntoConstraints
    0.62
     Paglinawan
    0.61
     ويكيميديا
    0.61
    ValueStyle
    0.61
    Activations Density 0.876%

    No Known Activations