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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7615
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    INDEX
    Explanations

    technical specifications and performance metrics of vehicles

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Car/vehicle features or performance

    np_acts-logits-general · gemini-2.0-flash

    automotive design and features

    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
    Negative Logits
     defStyle
    -0.51
     Balcony
    -0.48
     laiton
    -0.46
    borderSide
    -0.46
     acrí
    -0.46
    ConverterFactory
    -0.45
    jsii
    -0.45
     mochilas
    -0.44
    ค่ะ
    -0.44
    BeginContext
    -0.44
    POSITIVE LOGITS
     automaker
    0.59
     underpin
    0.45
     evolu
    0.42
     electrified
    0.42
     ///
    0.41
     occupants
    0.41
     BMW
    0.41
     onOptions
    0.40
     debuts
    0.40
     chassis
    0.39
    Activations Density 0.474%

    No Known Activations