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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8561
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    Explanations

    occurrences of the word "scored" and variations related to scoring 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 @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.76
    tact
    -0.51
    仕方
    -0.50
    ochet
    -0.48
    urge
    -0.48
    GEBURTSDATUM
    -0.47
     thank
    -0.46
    mendation
    -0.46
    Przyp
    -0.46
     scape
    -0.46
    POSITIVE LOGITS
     scoring
    0.85
     scored
    0.79
     Scoring
    0.76
    Scoring
    0.71
    scoring
    0.68
    UnsafeEnabled
    0.68
    scored
    0.57
     scorers
    0.54
     importantly
    0.50
     numberOfRows
    0.45
    Activations Density 0.086%

    No Known Activations