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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8420
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    INDEX
    Explanations

    mentions of player transfers and departures in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Ordinal numbers followed by context

    np_acts-logits-general · gemini-2.0-flash

    sports game outcomes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endphp
    -0.62
    oredCriteria
    -0.50
    transQ
    -0.48
    IsMutable
    -0.47
     odkazy
    -0.47
    脚注の使い方
    -0.46
    utilized
    -0.45
    urized
    -0.44
    PyExc
    -0.44
     arşivlendi
    -0.43
    POSITIVE LOGITS
     berkenaan
    0.43
    AddTagHelper
    0.41
     kebenaran
    0.41
    }));
    0.41
     penyer
    0.41
    dersfield
    0.40
    verwijspagina
    0.40
     documentación
    0.38
     Relaciones
    0.38
     mukana
    0.38
    Activations Density 0.264%

    No Known Activations