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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3802
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    Explanations

    references to police and law enforcement activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     yyr
    -0.50
     riser
    -0.47
     yym
    -0.47
     onCreateView
    -0.46
    __*/
    -0.46
    ternut
    -0.46
    Географија
    -0.45
    tableFuture
    -0.45
    Chapitre
    -0.45
    Exemplo
    -0.44
    POSITIVE LOGITS
     police
    0.91
     POLICE
    0.85
     Police
    0.85
    Police
    0.81
    police
    0.78
     policía
    0.74
     policemen
    0.71
     policías
    0.69
     Polisi
    0.66
     Policía
    0.66
    Activations Density 0.122%

    No Known Activations