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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11558
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    Explanations

    details related to scoring goals in football matches

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

    scoring goals

    np_acts-logits-general · gemini-2.0-flash

    scoring goals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BeginContext
    -0.47
     MonoBehaviour
    -0.39
    DrawerLayout
    -0.38
    TypedArray
    -0.38
    SwitchCompat
    -0.38
    ecycle
    -0.38
    WriteBarrier
    -0.37
    phant
    -0.37
     initComponents
    -0.37
     pavements
    -0.36
    POSITIVE LOGITS
     goals
    0.99
    goals
    0.85
     goal
    0.85
    Goals
    0.77
     Goals
    0.75
     scoring
    0.74
    goal
    0.73
     scored
    0.68
    Scoring
    0.65
     goles
    0.64
    Activations Density 0.100%

    No Known Activations