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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8673
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    instances of significant sports achievements or performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     parachoque
    -0.52
     propOrder
    -0.47
     Blocking
    -0.47
     AssemblyCulture
    -0.46
    EndProject
    -0.45
     resourceCulture
    -0.44
    Autoritní
    -0.42
     blocking
    -0.42
     հղումներ
    -0.41
    LEncoder
    -0.41
    POSITIVE LOGITS
     assist
    0.54
     assists
    0.49
     penetrate
    0.49
     ویکی‌آمباردا
    0.48
     asistir
    0.47
     pass
    0.46
     penetration
    0.46
     penetrated
    0.45
     BorderSide
    0.45
     penetrating
    0.45
    Activations Density 0.160%

    No Known Activations