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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10675
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    Explanations

    quantitative data related to energy and metabolic measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.81
    contentLoaded
    -0.80
     informée
    -0.79
     autorytatywna
    -0.74
     Signalez
    -0.72
    parsedMessage
    -0.72
    +#+#
    -0.70
    addCriterion
    -0.70
     noDo
    -0.69
     lenker
    -0.68
    POSITIVE LOGITS
     levels
    0.36
     concentration
    0.36
     niveaux
    0.35
     Konzentration
    0.34
     performance
    0.34
     prices
    0.32
     performances
    0.31
     trânsito
    0.31
     Anzeige
    0.31
     acontecimientos
    0.31
    Activations Density 0.841%

    No Known Activations