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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 14307
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    Explanations

    mentions of cities and their associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Билгалдахарш
    -0.74
     مواليد
    -0.69
    Portale
    -0.69
     الحره
    -0.67
     bezeichneter
    -0.67
     Waray
    -0.65
    énario
    -0.65
     initComponents
    -0.64
     للاسماء
    -0.64
    GEBURTSDATUM
    -0.64
    POSITIVE LOGITS
    pyx
    0.54
    IVEREF
    0.52
    شاركة
    0.52
    TextAppearance
    0.50
     CIT
    0.49
     Zweiten
    0.49
    CIT
    0.49
    ẵng
    0.46
    PyTuple
    0.46
     cities
    0.46
    Activations Density 0.157%

    No Known Activations