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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 14010
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    Explanations

    references to crime and criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    انجليز
    -0.74
     يتيمه
    -0.74
     femeninos
    -0.71
     بيها
    -0.65
     supérieurs
    -0.64
     trasparente
    -0.64
    ostante
    -0.64
     quelcon
    -0.63
     communs
    -0.63
     refusé
    -0.63
    POSITIVE LOGITS
     crime
    3.47
     Crime
    3.31
    Crime
    3.02
     CRIME
    2.97
    crime
    2.93
     crimes
    2.87
     Crimes
    2.67
    crimes
    2.37
     crimen
    1.98
     crimin
    1.73
    Activations Density 0.075%

    No Known Activations