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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 2204
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    Explanations

    physical signs of wear, damage, or aging on products or materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lucene
    -0.37
     NgModule
    -0.35
     amp
    -0.31
     simult
    -0.31
     dur
    -0.31
     subsidi
    -0.31
     Mills
    -0.30
     FetchType
    -0.30
    ziehung
    -0.30
     lenker
    -0.30
    POSITIVE LOGITS
     blemishes
    0.70
     cracks
    0.69
     flaws
    0.66
     Cracks
    0.64
     AttributeSet
    0.64
     fisuras
    0.63
     imperfections
    0.61
     wrinkles
    0.61
     spots
    0.60
     crevices
    0.60
    Activations Density 0.623%

    No Known Activations