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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7917
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    INDEX
    Explanations

    references to roles, qualifications, and experiences in professional settings

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

    describing positive attributes or qualifications

    np_acts-logits-general · gemini-2.0-flash

    professional qualities and skills

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ंदीखरीदारी
    -0.64
     purity
    -0.63
    entine
    -0.60
    apunov
    -0.59
     fragility
    -0.56
     Purity
    -0.56
     Erişim
    -0.55
    MessageOf
    -0.55
     innocence
    -0.53
     inflater
    -0.52
    POSITIVE LOGITS
     skilled
    1.10
     competent
    1.09
     committed
    1.08
     experienced
    1.04
     capable
    1.04
     motivated
    1.00
     dedicated
    0.98
     resourceful
    0.96
     talented
    0.95
     skillful
    0.92
    Activations Density 0.255%

    No Known Activations