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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6158
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    references to academic journals and their formatting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     resourceCulture
    -0.82
     betweenstory
    -0.81
     متعلقه
    -0.79
     ProtoMessage
    -0.75
    MLLoader
    -0.74
     utafitiHapana
    -0.73
     }{@
    -0.73
    Tembelea
    -0.73
    aarrggbb
    -0.73
    Geplaatst
    -0.72
    POSITIVE LOGITS
     
    0.44
    .
    0.43
     study
    0.35
     interni
    0.34
    ↵
    0.34
    <i>
    0.33
    ↵↵
    0.33
    <em>
    0.32
     .
    0.32
    The
    0.31
    Activations Density 0.216%

    No Known Activations