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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9941
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    Explanations

    references to the Ford brand and its vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Ford" followed by a car model

    np_acts-logits-general · gemini-2.0-flash

    Ford cars and motors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnimationsModule
    -0.43
    setVerticalGroup
    -0.41
    mybatisplus
    -0.39
    baomidou
    -0.38
     swiss
    -0.36
     Swiss
    -0.36
    Closer
    -0.34
     Karl
    -0.34
    Dota
    -0.33
    krat
    -0.33
    POSITIVE LOGITS
     Ford
    1.17
    Ford
    1.09
     FORD
    1.06
     ford
    0.90
    FORD
    0.73
     Mustang
    0.69
     Dearborn
    0.65
    ford
    0.63
     SVT
    0.61
     mustang
    0.60
    Activations Density 0.094%

    No Known Activations