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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9800
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Unicode whitespace

    np_acts-logits-general · gemini-2.0-flash

    formats the content

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wicidata
    -0.59
     wireType
    -0.57
     الرياضيه
    -0.56
    таратура
    -0.56
    hamshire
    -0.56
     ویکی‌پدیای
    -0.56
    cipline
    -0.56
     noDo
    -0.55
    Hauptartikel
    -0.55
    allenge
    -0.53
    POSITIVE LOGITS
     ​
    1.19
    ​
    0.99
    .​
    0.98
    ,​
    0.95
    )​
    0.93
    :​
    0.91
    ​​
    0.86
     ​​
    0.81
    ​.
    0.76
    ​,
    0.73
    Activations Density 0.326%

    No Known Activations