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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. 9532
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    Explanations

    names of sports teams and their associated players

    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
     autorytatywna
    -0.53
    SourceChecksum
    -0.52
    Източници
    -0.48
     ویکی‌پدی
    -0.47
    XmlAccessType
    -0.47
    RegressionTest
    -0.45
    Ծանոթ
    -0.44
    rawDesc
    -0.44
     يتيمه
    -0.42
    
    -0.42
    POSITIVE LOGITS
     pretence
    0.50
    richTextPanel
    0.45
    argv
    0.43
     pretense
    0.43
     Freien
    0.43
    GEBURTS
    0.42
     Proposals
    0.41
    pogon
    0.41
    transQ
    0.40
     argv
    0.40
    Activations Density 0.573%

    No Known Activations