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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6510
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    Explanations

    phrases related to antibiotic compositions and medical treatments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Administrativna
    -0.49
    dot
    -0.41
    InSection
    -0.40
     Laughing
    -0.40
    UITableView
    -0.40
    httphttps
    -0.40
    ukone
    -0.40
    anen
    -0.40
    msgTypes
    -0.39
    chada
    -0.38
    POSITIVE LOGITS
     antibiotics
    1.31
     antibiotic
    1.27
     Antibiotics
    1.07
     antibio
    1.00
     antimicrobial
    0.97
     antibacterial
    0.91
     resistance
    0.86
     Antimicrobial
    0.86
     resistencia
    0.81
     résistance
    0.81
    Activations Density 0.802%

    No Known Activations