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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15404
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    terms related to weight management and obesity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.63
    ScopeManager
    -0.57
    ParallelGroup
    -0.56
     للمعارف
    -0.50
     виправивши
    -0.49
    -------------</
    -0.49
     <=",
    -0.49
    onActivityResult
    -0.49
     يتيمه
    -0.49
     CURIAM
    -0.47
    POSITIVE LOGITS
    lifting
    0.77
    lifter
    0.70
    lessness
    0.64
     gain
    0.63
    loss
    0.61
     loss
    0.59
    iness
    0.49
     lifting
    0.47
     Loss
    0.45
     Gain
    0.43
    Activations Density 0.154%

    No Known Activations