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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12969
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    INDEX
    Explanations

    references to car manufacturers and specific vehicle models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Herzliche
    -0.35
    openConnection
    -0.35
     gathers
    -0.32
     ocio
    -0.32
     afternoon
    -0.32
     serializers
    -0.31
     sidelines
    -0.31
     gather
    -0.29
    PageIndex
    -0.29
     breaks
    -0.28
    POSITIVE LOGITS
     Toyota
    1.47
     Ford
    1.44
     Chevrolet
    1.39
     Nissan
    1.39
    Toyota
    1.37
    Ford
    1.37
     Volkswagen
    1.34
     Mercedes
    1.29
    Chevrolet
    1.28
    Nissan
    1.27
    Activations Density 0.264%

    No Known Activations