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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 0-GEMMASCOPE-RES-16K
    6. 10025
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    Explanations

    references to various types of vehicles

    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
    centiles
    -0.60
     timeval
    -0.53
    ьаж
    -0.52
     vů
    -0.50
    httphttps
    -0.50
     endwhile
    -0.48
     iprot
    -0.47
     boat
    -0.47
    WireFormatLite
    -0.47
    afficheront
    -0.45
    POSITIVE LOGITS
     trucks
    1.61
     boats
    1.46
     Trucks
    1.34
     planes
    1.31
     Cars
    1.30
     cars
    1.28
     trains
    1.28
     buses
    1.27
    Cars
    1.25
     Boats
    1.23
    Activations Density 0.249%

    No Known Activations