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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3090
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    INDEX
    Explanations

    phrases expressing strong recommendations or positive sentiments about books or experiences

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

    recommendations

    np_acts-logits-general · gemini-2.0-flash

    recommendations and phrases of doubt

    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
    AddHtmlAttribute
    -0.42
    EndInit
    -0.40
     dzien
    -0.40
     فإن
    -0.40
     gebou
    -0.39
    Зміст
    -0.39
     partito
    -0.39
     eröffnet
    -0.38
     neuesten
    -0.38
     Rivas
    -0.37
    POSITIVE LOGITS
     recommend
    0.67
     Recommend
    0.65
     recommendation
    0.60
    Recommend
    0.59
    recommend
    0.56
    推荐
    0.55
     Recom
    0.55
    recommendation
    0.55
     recommended
    0.54
     recomend
    0.53
    Activations Density 0.076%

    No Known Activations