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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4941
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    INDEX
    Explanations

    information related to brake pad material and maintenance practices

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

    preceding adjectives or materials

    np_acts-logits-general · gemini-2.0-flash

    material types and qualities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aktivitet
    -0.44
     ennemis
    -0.38
    жере
    -0.38
     overras
    -0.37
     abandonado
    -0.37
    ramienta
    -0.37
    getText
    -0.37
     potenciales
    -0.36
     niech
    -0.36
     intoxication
    -0.36
    POSITIVE LOGITS
    migrationBuilder
    0.81
     premium
    0.60
     medium
    0.55
     Premium
    0.55
    Premium
    0.53
    premium
    0.52
    medium
    0.52
     double
    0.52
     standard
    0.51
     slightly
    0.51
    Activations Density 0.696%

    No Known Activations