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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10339
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    statistical information about sports performances and game outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Билгалдахарш
    -0.60
     للمعارف
    -0.59
     المعيارى
    -0.52
    ༘
    -0.50
     дописавши
    -0.48
     rev
    -0.46
    routine
    -0.45
    Routine
    -0.45
    DebuggerNonUser
    -0.45
    StreetMap
    -0.44
    POSITIVE LOGITS
     score
    0.68
     scores
    0.59
    score
    0.57
     Scores
    0.51
     Score
    0.49
     halftime
    0.47
    scores
    0.46
     memasuki
    0.45
     marcador
    0.42
     pizarra
    0.42
    Activations Density 0.119%

    No Known Activations