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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7929
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    Explanations

    references to historical events and geographical entities, particularly those related to Berlin and its surroundings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    setVerticalGroup
    -0.68
    DotNetBar
    -0.61
     AssemblyCulture
    -0.60
    ########.
    -0.60
    :✨
    -0.59
    StructEnd
    -0.58
     initComponents
    -0.57
     propOrder
    -0.56
    verifyException
    -0.56
    Personensuche
    -0.55
    POSITIVE LOGITS
    Berlin
    0.43
     Berlin
    0.41
     pymysql
    0.37
    Anhalt
    0.36
    Lower
    0.33
     ExecuteAsync
    0.32
     Open
    0.31
    Open
    0.31
     berlin
    0.31
     anzuzeigen
    0.29
    Activations Density 0.404%

    No Known Activations