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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 13646
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    phrases related to cosmetic procedures and aging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     representation
    -0.41
    verfahren
    -0.41
    WithIOException
    -0.39
     Representation
    -0.39
    haikusbot
    -0.37
    ScopeManager
    -0.36
     kaarangay
    -0.36
    Obrázky
    -0.36
     obie
    -0.36
     Stamps
    -0.36
    POSITIVE LOGITS
    SequentialGroup
    0.50
     Botox
    0.47
    龇
    0.44
     fla
    0.44
     accentuated
    0.43
    例文帳に追加
    0.43
    RTEX
    0.42
    BeginContext
    0.42
    Filler
    0.42
     sculpted
    0.41
    Activations Density 0.092%

    No Known Activations