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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 71309
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    Explanations

    terms related to drug resistance in medical contexts, particularly in relation to antibiotics and cancer treatments

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

    drug resistance

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    참고
    -0.30
    forKey
    -0.28
    engar
    -0.26
    Literatuur
    -0.26
     occuper
    -0.25
     apostolic
    -0.24
     tata
    -0.24
    */
    -0.24
    entia
    -0.24
    각주
    -0.23
    POSITIVE LOGITS
     waterproof
    1.86
     Waterproof
    1.67
    Waterproof
    1.59
    waterproof
    1.59
    防水
    1.57
     waterproofing
    1.55
     resistant
    1.30
     resistance
    1.27
     imperme
    1.27
     防水
    1.25
    Activations Density 0.188%

    No Known Activations