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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3948
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    words related to microbiology and microbial research

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    申
    -0.35
     coming
    -0.34
     Schöne
    -0.33
    pidou
    -0.33
     upcoming
    -0.32
     imp
    -0.31
    symbol
    -0.31
     kaya
    -0.31
     dumb
    -0.30
    ヒー
    -0.30
    POSITIVE LOGITS
     Bacteria
    1.09
     bacteria
    1.08
     microorganisms
    1.03
     microbes
    1.03
    Bacteria
    0.98
     bacterial
    0.95
     microbial
    0.94
     bacterium
    0.94
    bacteria
    0.93
     microbiology
    0.92
    Activations Density 1.246%

    No Known Activations