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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2590
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    Explanations

    references to moisturizing and skincare products

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

    Oils, fats, waxes, and grease

    np_acts-logits-general · gemini-2.0-flash

    oils, waxes, and fatty substances

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ambilan
    -0.35
     Vikipedi
    -0.35
     لينك
    -0.34
    __*/
    -0.33
    ⎦
    -0.33
    addGap
    -0.32
     colorWith
    -0.32
    帖最后由
    -0.32
     Winaray
    -0.31
    matchCondition
    -0.30
    POSITIVE LOGITS
     moisturi
    0.60
     moisturizing
    0.57
     Paglinawan
    0.56
    libft
    0.54
     hidrat
    0.52
    moisture
    0.51
     hydrate
    0.50
    Moisture
    0.48
    ioutil
    0.48
     Moisture
    0.47
    Activations Density 0.083%

    No Known Activations