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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5662
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    INDEX
    Explanations

    references to modal verbs and their usage in context

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

    German language fragments

    np_acts-logits-general · gemini-2.0-flash

    languages and technical contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.66
     esternos
    -0.65
    HtmlAttribute
    -0.64
    RenderAtEndOf
    -0.64
    verwijspagina
    -0.60
    ########.
    -0.60
    Datuak
    -0.60
    JspWriter
    -0.59
    UrlResolution
    -0.59
    parsedMessage
    -0.59
    POSITIVE LOGITS
     which
    0.33
     suspensión
    0.32
     who
    0.32
     tud
    0.30
     profissional
    0.30
     gouver
    0.30
     ('
    0.29
     presidencia
    0.29
     that
    0.29
     want
    0.28
    Activations Density 0.023%

    No Known Activations