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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. 13163
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    INDEX
    Explanations

    descriptions of vehicle features and specifications

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

    wheels and measurements

    np_acts-logits-general · gemini-2.0-flash

    wheels and rims

    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
    ThroughAttribute
    -0.43
    endpush
    -0.42
    írus
    -0.40
    rapeau
    -0.38
    Autowired
    -0.37
    hort
    -0.35
     informée
    -0.33
    Rè
    -0.33
    TagMode
    -0.33
     otot
    -0.32
    POSITIVE LOGITS
     rims
    0.81
     rim
    0.65
     wheels
    0.63
     cherchés
    0.61
    PCD
    0.59
     alloy
    0.57
     alloys
    0.54
    Rim
    0.53
     Alloys
    0.52
     wheel
    0.52
    Activations Density 0.065%

    No Known Activations