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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13165
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    Explanations

    terms related to bacterial infections and antimicrobial agents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Antimicrobial/antibacterial activity

    np_acts-logits-general · gemini-2.0-flash

    antibacterial activity against bacteria

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.73
    MigrationBuilder
    -0.71
     MainAxisSize
    -0.70
     Atiku
    -0.64
     utafitiHapana
    -0.63
     незавершена
    -0.60
     Jop
    -0.58
    ஓ
    -0.56
     JFK
    -0.56
    出版年
    -0.55
    POSITIVE LOGITS
     bacteria
    1.72
     bacterial
    1.62
     microbial
    1.46
     microorganisms
    1.45
     microbes
    1.44
     Bacteria
    1.42
     bacterium
    1.40
     Bacterial
    1.38
    bacteria
    1.35
    Bacteria
    1.30
    Activations Density 1.129%

    No Known Activations