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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 9384
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    terms related to public transportation infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     uLocal
    -0.65
     EconPapers
    -0.63
    
    -0.62
     InputDecoration
    -0.60
     nakalista
    -0.59
    RectangleBorder
    -0.59
     CGRectMake
    -0.56
     AssemblyCulture
    -0.54
     AssemblyTitle
    -0.54
     betweenstory
    -0.54
    POSITIVE LOGITS
     subway
    0.47
     metro
    0.40
    地下鉄
    0.40
     systému
    0.40
     métro
    0.37
     Metro
    0.37
    Subway
    0.36
     rail
    0.36
     Subway
    0.35
    #
    0.35
    Activations Density 0.352%

    No Known Activations