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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 85751
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    Explanations

    quantities related to scoring in sports

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

    number of goals scored

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estekak
    -0.45
     nonUne
    -0.40
     initComponents
    -0.39
    AutoScaleMode
    -0.38
     članak
    -0.35
    ньше
    -0.35
    рс
    -0.34
     riders
    -0.34
    getSystemService
    -0.34
     विश्वसनीयता
    -0.34
    POSITIVE LOGITS
     scoring
    0.89
    scoring
    0.81
     scored
    0.75
     goals
    0.73
     Scoring
    0.73
     score
    0.68
    Scoring
    0.67
    scored
    0.65
     scores
    0.65
    score
    0.64
    Activations Density 0.021%

    No Known Activations