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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 53518
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    INDEX
    Explanations

    references to Volkswagen and its various models and groups

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

    Volkswagen, VW

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Erickson
    -0.44
     resourceCulture
    -0.43
     razu
    -0.43
    stoffe
    -0.42
     Crawford
    -0.41
    kwij
    -0.40
     inim
    -0.40
     pamamagitan
    -0.39
    既
    -0.38
     Kri
    -0.38
    POSITIVE LOGITS
     Volkswagen
    2.14
    Volkswagen
    1.98
     VW
    1.65
     volkswagen
    1.65
    VW
    1.40
    volkswagen
    1.32
     vw
    1.20
     Volks
    1.16
    Volks
    1.13
    kswagen
    1.02
    Activations Density 0.006%

    No Known Activations