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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. 11986
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    Explanations

    key performance indicators in sports contexts

    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
     ſta
    -0.48
     Wikimedijinoj
    -0.48
    utilisons
    -0.45
     faſt
    -0.45
     Reſ
    -0.45
     ſtate
    -0.44
     beſ
    -0.44
     verſ
    -0.44
     myſelf
    -0.43
     eſt
    -0.43
    POSITIVE LOGITS
     vantagem
    0.44
     CURIAM
    0.43
     weakness
    0.43
     ventaja
    0.42
     dominated
    0.40
     GetEnumerator
    0.40
     unbeatable
    0.40
     surla
    0.40
    addContainerGap
    0.40
     voordeel
    0.39
    Activations Density 0.252%

    No Known Activations