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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14059
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    Explanations

    references to performance-enhancing clothing and insulation materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     لينك
    -0.45
    FirstResponder
    -0.43
     investissements
    -0.42
    rté
    -0.40
    engesch
    -0.40
     specchio
    -0.39
     vrea
    -0.39
     فريبيس
    -0.39
    ParallelGroup
    -0.39
    wpdb
    -0.39
    POSITIVE LOGITS
     insulation
    0.74
     fleece
    0.71
     insulating
    0.63
     jackets
    0.61
     insulated
    0.60
    agonia
    0.58
     warmest
    0.58
     jacket
    0.58
    TagMode
    0.56
     Fleece
    0.56
    Activations Density 0.221%

    No Known Activations