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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. 11644
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    Explanations

    statistical data and numerical information related to sports performances

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

    poor performance records

    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
     perfect
    -0.71
    perfect
    -0.60
     PERFECT
    -0.58
     perfección
    -0.58
    Perfect
    -0.57
     Perfect
    -0.56
     perfection
    -0.55
     flawless
    -0.53
    完美
    -0.53
     perfectly
    -0.52
    POSITIVE LOGITS
     poor
    0.80
     poorest
    0.76
     ineffective
    0.75
    poor
    0.74
     pauvre
    0.73
     inadequate
    0.73
     weak
    0.72
    Poor
    0.71
     pobre
    0.71
     meager
    0.71
    Activations Density 0.032%

    No Known Activations