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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. 2258
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    Explanations

    key players and their performance in sports contexts

    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
     Bapak
    -0.53
     lettres
    -0.52
     nowadays
    -0.51
     decades
    -0.51
    ᅠ
    -0.48
     Infórmanos
    -0.48
     auprès
    -0.48
     ourselves
    -0.47
    ieš
    -0.47
    ziasztok
    -0.47
    POSITIVE LOGITS
     coach
    0.56
     scored
    0.53
    Scoring
    0.52
     defensively
    0.51
    Trailing
    0.50
     scoring
    0.50
     Scoring
    0.49
    Injuries
    0.49
     injuries
    0.48
     defending
    0.48
    Activations Density 0.190%

    No Known Activations