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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9441
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    terms related to body parts or medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HasAnnotation
    -0.63
    出版年
    -0.57
    UrlResolution
    -0.57
    ftagPool
    -0.54
    BufferException
    -0.54
     getItemCount
    -0.51
     expériment
    -0.49
     autorytatywna
    -0.49
     <<<<<<<<<<<<<<
    -0.49
     onCreateView
    -0.48
    POSITIVE LOGITS
     knee
    0.66
     shoulder
    0.66
     knees
    0.63
     Wait
    0.60
     wait
    0.59
     Thi
    0.59
    knee
    0.57
     Leon
    0.54
    shoulder
    0.53
    nav
    0.52
    Activations Density 0.179%

    No Known Activations