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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. 10772
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    Explanations

    numerical identifiers and references in a systematic format

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

    Hexadecimal values

    np_acts-logits-general · gemini-2.0-flash

    hexadecimal byte data

    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
     disambiguazione
    -0.73
     Мексичка
    -0.65
    :✨
    -0.59
    Personendaten
    -0.59
    uxxxx
    -0.53
    RenderAtEndOf
    -0.53
     ویکی‌پدی
    -0.51
     nakalista
    -0.50
    httphttps
    -0.48
     Италијани
    -0.47
    POSITIVE LOGITS
    inol
    0.51
    kale
    0.49
    yne
    0.49
    iau
    0.47
    dsm
    0.47
    rotter
    0.43
    gon
    0.43
    pso
    0.43
    rti
    0.43
    iare
    0.43
    Activations Density 0.180%

    No Known Activations