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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 16350
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    INDEX
    Explanations

    statements and inquiries related to personal experiences and challenges

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

    Descriptors of people (age, marital status, etc.)

    np_acts-logits-general · gemini-2.0-flash

    young adults and families

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
     vastaan
    -0.60
     nemico
    -0.59
     umana
    -0.58
     goederen
    -0.58
    yakit
    -0.55
     artefacts
    -0.55
     bucal
    -0.54
     suitors
    -0.54
     inimigos
    -0.53
     privées
    -0.53
    POSITIVE LOGITS
     millennial
    1.10
     middle
    1.06
     millennials
    1.05
     Millennials
    0.97
     Mill
    0.91
     college
    0.86
     married
    0.86
     young
    0.85
     Gen
    0.84
     single
    0.84
    Activations Density 0.517%

    No Known Activations