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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 93985
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    INDEX
    Explanations

    topics and references related to mental and overall wellbeing

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    wellbeing and welfare concepts

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
    unhofer
    -0.50
    GraphicsUnit
    -0.47
    fjspx
    -0.46
    -/**
    -0.45
    IntoConstraints
    -0.45
     useRef
    -0.44
     lapin
    -0.44
    glBindTexture
    -0.43
    principalColumn
    -0.42
     estekak
    -0.42
    POSITIVE LOGITS
     wellbeing
    1.66
     Wellbeing
    1.46
     bienestar
    0.81
     wellness
    0.71
    wellness
    0.68
     Wellness
    0.63
     benessere
    0.63
     welfare
    0.60
     WELFARE
    0.60
    Wellness
    0.60
    Activations Density 0.003%

    No Known Activations