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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11536
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    Explanations

    references to law enforcement officers and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ayala
    -0.50
     Calab
    -0.49
    zelfde
    -0.47
     Beijing
    -0.47
    XmlType
    -0.46
     Allgemeinen
    -0.46
     fechar
    -0.46
     falschen
    -0.46
     Mayfield
    -0.46
    IMF
    -0.45
    POSITIVE LOGITS
     officer
    0.86
    Officer
    0.82
     Officer
    0.80
     officers
    0.78
     Citizen
    0.77
     Officers
    0.76
    Citizen
    0.76
     OFFICER
    0.74
     citizen
    0.73
    officer
    0.73
    Activations Density 0.161%

    No Known Activations