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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 8784
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    INDEX
    Explanations

    statistics related to sports performance and shooting metrics

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

    shooting and percentages

    np_acts-logits-general · gemini-2.0-flash

    shooting accuracy percentages

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     переписи
    -0.52
     Serv
    -0.49
     Papers
    -0.48
     chromosomes
    -0.47
    ivir
    -0.47
     صوتيه
    -0.47
    lawesi
    -0.47
    Serv
    -0.47
    uba
    -0.46
     policing
    -0.46
    POSITIVE LOGITS
     shot
    0.74
    awtextra
    0.73
     shots
    0.73
     shooting
    0.72
     accuracy
    0.72
    Shooting
    0.69
    shooting
    0.69
     Accuracy
    0.69
     shooter
    0.69
    Accuracy
    0.69
    Activations Density 0.096%

    No Known Activations