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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 12299
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    Explanations

    specific references to professional football players and their career details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 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
    enumi
    -0.56
     تانيه
    -0.55
    ValueStyle
    -0.51
     plomb
    -0.50
    DockStyle
    -0.50
     déplacer
    -0.49
    Miejs
    -0.49
     Abends
    -0.48
    abrigo
    -0.48
     محفوظة
    -0.47
    POSITIVE LOGITS
    RegressionTest
    0.73
    enheim
    0.69
    futbolista
    0.67
    UrlResolution
    0.65
    oredCriteria
    0.64
     footballer
    0.62
    IntegrationTest
    0.62
    ColumnHeaders
    0.59
    \{\\
    0.59
    balleur
    0.58
    Activations Density 0.291%

    No Known Activations