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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. 63
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    Explanations

    references to database queries and their structure

    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
    DTD
    -0.52
     MST
    -0.52
     BorderSide
    -0.50
    import
    -0.46
    mless
    -0.46
     Mae
    -0.45
    MSI
    -0.45
    BMP
    -0.45
    include
    -0.45
    MST
    -0.45
    POSITIVE LOGITS
     QUERY
    0.88
     query
    0.86
    q
    0.83
    Q
    0.82
     q
    0.81
     Query
    0.80
     Q
    0.79
    Query
    0.73
    query
    0.73
    setQuery
    0.73
    Activations Density 0.577%

    No Known Activations