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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 10259
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    Explanations

    references to cosmetic procedures and aging-related concerns

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

    physical appearance and skin-related descriptions, particularly focusing on facial features, aging signs, and cosmetic treatments.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.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
    richTextPanel
    -0.53
    ništ
    -0.51
    
    -0.50
    Encyklopedia
    -0.48
    曖昧さ回避
    -0.48
     Roskov
    -0.47
    símbolo
    -0.47
    embols
    -0.47
     suela
    -0.47
    SuspendLayout
    -0.46
    POSITIVE LOGITS
     face
    1.14
     Face
    1.07
     facial
    1.06
    Face
    1.00
    face
    0.95
     acne
    0.93
     Facial
    0.91
    Facial
    0.88
     FACE
    0.87
     faces
    0.84
    Activations Density 0.126%

    No Known Activations