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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 6296
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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-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.72
     AssemblyTitle
    -0.67
     Giver
    -0.66
    NameInMap
    -0.65
     <>",
    -0.63
     становника
    -0.62
    stdlib
    -0.62
     AssemblyVersion
    -0.62
     initComponents
    -0.62
     onCreateView
    -0.61
    POSITIVE LOGITS
     police
    4.49
    police
    3.94
     Police
    3.94
    Police
    3.86
     POLICE
    3.58
     policemen
    2.67
     policeman
    2.56
     policía
    2.55
    警察
    2.53
     Polizei
    2.48
    Activations Density 0.091%

    No Known Activations