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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. 12413
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    Explanations

    mentions of corruption and financial misconduct in political contexts

    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
    fär
    -0.51
     pistolet
    -0.46
    glä
    -0.44
    ltä
    -0.43
     económicos
    -0.43
     económicas
    -0.43
    provincia
    -0.42
    kään
    -0.41
     Seleccion
    -0.40
    Jugador
    -0.40
    POSITIVE LOGITS
     Brazilian
    0.82
     brazilian
    0.79
    expandindo
    0.77
    Brazilian
    0.76
     Brazil
    0.75
    Brazil
    0.72
    brazilian
    0.68
     BRAZIL
    0.66
    ंदीखरीदारी
    0.66
    巴西
    0.66
    Activations Density 0.540%

    No Known Activations