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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 10298
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    INDEX
    Explanations

    mentions of individuals and their roles in film or television

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

    Actors and their roles in film

    np_acts-logits-general · gemini-2.0-flash

    playing roles in films

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zzleHttp
    -0.60
    ChildScrollView
    -0.50
    unteer
    -0.49
    esModule
    -0.44
    featureID
    -0.44
     volont
    -0.43
     fubject
    -0.43
    NewGuid
    -0.43
     Subject
    -0.42
    Volunteers
    -0.42
    POSITIVE LOGITS
     portraying
    0.94
     portrayal
    0.85
     playing
    0.75
     portray
    0.69
     portrays
    0.68
     role
    0.64
     acting
    0.63
     roles
    0.63
     نقش
    0.60
     interpretar
    0.60
    Activations Density 0.195%

    No Known Activations