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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. 15481
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    references to different railway systems and stations

    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
     Hart
    -0.39
     Pad
    -0.37
    Ideally
    -0.35
     ideal
    -0.35
     Sav
    -0.34
     ideally
    -0.34
      
    -0.34
     Flex
    -0.33
     Ideally
    -0.33
     Ideal
    -0.33
    POSITIVE LOGITS
     المعيارى
    0.87
     مشين
    0.83
     railway
    0.83
     Railway
    0.82
     railroad
    0.80
    Railway
    0.78
    styleType
    0.76
    railway
    0.76
     railways
    0.76
    UnusedPrivate
    0.76
    Activations Density 0.226%

    No Known Activations