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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12680
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    INDEX
    Explanations

    references to damages or imperfections in physical objects

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

    skin injuries

    np_acts-logits-general · gemini-2.0-flash

    physical marks and damage

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    '])){
    -0.30
    FloatField
    -0.29
    |
    -0.29
     vienen
    -0.28
    optionalTypeArgs
    -0.28
     Brook
    -0.28
    '])){
    -0.28
     poses
    -0.28
     vol
    -0.28
     getClass
    -0.27
    POSITIVE LOGITS
     scars
    0.87
     scratches
    0.85
     dents
    0.73
     scratched
    0.71
     scar
    0.71
     scarred
    0.69
     blemishes
    0.68
     scratch
    0.66
     marks
    0.65
     scarring
    0.65
    Activations Density 0.407%

    No Known Activations