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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. 9020
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    references to various forms of fraud and illegal activities, particularly in legal contexts

    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
    thâu
    -0.96
    GEBURTSDATUM
    -0.88
    Datuak
    -0.87
    RenderAtEndOf
    -0.86
     HasFactory
    -0.83
    ConstraintMaker
    -0.82
    clusal
    -0.82
     للاسماء
    -0.82
    Personensuche
    -0.81
     referenties
    -0.81
    POSITIVE LOGITS
     fraud
    0.83
     theft
    0.75
     crimes
    0.69
     fraude
    0.68
     misconduct
    0.66
     Fraud
    0.64
     thefts
    0.64
     Crimes
    0.63
     neglect
    0.62
     abuse
    0.61
    Activations Density 0.879%

    No Known Activations