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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 12769
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    Explanations

    references to the term "Evergreen" and its variations, particularly in geographic or botanical contexts

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

    words starting with Ever

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     TestBed
    -0.50
    ImageContext
    -0.46
    الحياه
    -0.46
     Taktlose
    -0.46
    ]")]
    -0.45
    Ufficio
    -0.44
    webElementXpaths
    -0.44
    
    -0.44
    Filmografie
    -0.43
    fjspx
    -0.43
    POSITIVE LOGITS
     Everest
    0.51
     Everett
    0.48
     BorderSide
    0.47
     Evergreen
    0.46
    last
    0.43
    простра
    0.40
    UrlResolution
    0.37
    craper
    0.37
    InputBorder
    0.37
    تقاوى
    0.36
    Activations Density 0.007%

    No Known Activations