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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5173
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    references to medical professionals and law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mitarbeit
    -0.56
     semula
    -0.56
     invitados
    -0.56
     cintas
    -0.55
     enamorado
    -0.55
     asumir
    -0.53
     encontraban
    -0.53
    euvres
    -0.53
     olvidar
    -0.52
     optimise
    -0.52
    POSITIVE LOGITS
    TagMode
    0.78
     police
    0.75
     doctor
    0.73
     ſte
    0.73
     ſta
    0.68
     Police
    0.64
     solid
    0.63
     houſe
    0.59
     ſch
    0.59
     ſche
    0.59
    Activations Density 0.205%

    No Known Activations