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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12271
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    INDEX
    Explanations

    references to training and qualifications in a professional context

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

    "training"

    np_acts-logits-general · gemini-2.0-flash

    training and skilled individuals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.64
     MainAxisSize
    -0.49
     propOrder
    -0.49
    
    -0.48
     nakalista
    -0.47
     erbjud
    -0.46
    zeera
    -0.46
    addContainerGap
    -0.46
    magitan
    -0.46
    Pautan
    -0.45
    POSITIVE LOGITS
     training
    0.75
     trained
    0.74
    Training
    0.69
     Training
    0.68
    training
    0.68
     TRAINING
    0.68
     Trained
    0.66
    trained
    0.65
     untrained
    0.60
     treinamento
    0.56
    Activations Density 0.333%

    No Known Activations