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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12770
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    references to policing 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 @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.48
    dafx
    -0.45
    enterOuterAlt
    -0.38
     verhe
    -0.37
     yyr
    -0.36
    providedIn
    -0.36
    apimachinery
    -0.35
    tinyos
    -0.35
    DeleteBehavior
    -0.34
    idends
    -0.34
    POSITIVE LOGITS
     police
    3.33
    police
    2.88
     Police
    2.86
    Police
    2.83
     POLICE
    2.70
     policemen
    2.50
     policeman
    2.39
    警察
    2.33
     policía
    2.30
     Polizei
    2.25
    Activations Density 1.203%

    No Known Activations