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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4499
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    Explanations

    references to stadiums and sports venues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.56
    Hozzáférés
    -0.55
    providedIn
    -0.53
     BytesLike
    -0.52
    errHandler
    -0.51
     незавершена
    -0.49
    utilisons
    -0.48
    internalType
    -0.48
     ujednoznacz
    -0.48
     StringTokenizer
    -0.48
    POSITIVE LOGITS
     stadium
    1.07
     Stadium
    0.96
     stadiums
    0.93
     estadio
    0.82
    stadium
    0.81
    Stadium
    0.81
     Estadio
    0.77
     stade
    0.75
     arena
    0.74
     stadio
    0.74
    Activations Density 0.128%

    No Known Activations