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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9227
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    the occurrence of the word "most."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     виправивши
    -0.61
     pulumi
    -0.49
    RTLR
    -0.48
     BoxFit
    -0.47
     IConfiguration
    -0.47
     learnings
    -0.46
    setCellValue
    -0.46
     المعيارى
    -0.44
    DockStyle
    -0.44
    Pulitzer
    -0.44
    POSITIVE LOGITS
     meisten
    0.85
     kebanyakan
    0.85
     fleste
    0.84
     flesta
    0.83
     meeste
    0.79
     maioria
    0.79
     nowadays
    0.79
     çoğu
    0.78
     mostly
    0.76
     plupart
    0.75
    Activations Density 0.150%

    No Known Activations