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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5552
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    INDEX
    Explanations

    references to notable players and their performance in sports contexts

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

    preceding adjectives and nouns

    np_acts-logits-general · gemini-2.0-flash

    performance and quality assessment

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.39
    lapsingToolbar
    -0.38
     getItemId
    -0.34
     ripar
    -0.34
     veiligheid
    -0.33
     '\\;'
    -0.33
    prepareStatement
    -0.32
    IsMutable
    -0.31
     néz
    -0.31
    VOR
    -0.31
    POSITIVE LOGITS
     performance
    0.63
     محفوظة
    0.61
    調子
    0.60
     mojo
    0.59
     performances
    0.58
    冴
    0.56
    发挥
    0.54
     PERFORMANCE
    0.54
    PERFORMANCE
    0.54
    performance
    0.52
    Activations Density 0.171%

    No Known Activations