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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. 4965
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    Explanations

    personal or character names, likely from a specific cultural context

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

    East Asian names

    np_acts-logits-general · gemini-2.0-flash

    names in text

    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
     resourceCulture
    -0.54
     مرئيه
    -0.46
    最快更新
    -0.46
    HandlerContext
    -0.44
    ]")]
    -0.43
    écnicas
    -0.43
     vrijwilli
    -0.42
     ligiloj
    -0.42
    ulemon
    -0.42
     []*
    -0.40
    POSITIVE LOGITS
    rot
    0.48
     Roskov
    0.45
    webElementXpaths
    0.45
     Paglinawan
    0.44
    ran
    0.44
    expandindo
    0.43
    ord
    0.40
    star
    0.40
    xd
    0.40
    cet
    0.39
    Activations Density 0.090%

    No Known Activations