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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 39665
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    Explanations

    references to violent events, particularly involving stabbings and gunshots

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

    wounds and injuries

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blic
    -0.44
     linkovi
    -0.44
    bewerken
    -0.42
     rempla
    -0.40
    ByDefault
    -0.40
     actualidad
    -0.40
    المناصب
    -0.39
    izzera
    -0.37
    optionalTypeArgs
    -0.37
     artık
    -0.37
    POSITIVE LOGITS
     antem
    0.65
     autopsy
    0.60
     wounds
    0.57
    mortem
    0.57
     mutil
    0.50
     mortem
    0.50
     bruises
    0.49
     Wounds
    0.49
     trauma
    0.48
     injuries
    0.47
    Activations Density 0.074%

    No Known Activations