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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9468
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    descriptors of vehicle aesthetics and surface finishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    __":
    -0.49
     заме
    -0.44
    IContainer
    -0.44
     gyhoeddwyd
    -0.40
     INTERESAR
    -0.40
    anthene
    -0.40
    __':
    -0.39
    mavi
    -0.39
    afficheront
    -0.39
     fol
    -0.39
    POSITIVE LOGITS
     shiny
    0.74
     glossy
    0.73
    gloss
    0.71
    shiny
    0.69
     gloss
    0.69
     sheen
    0.66
    Gloss
    0.66
     Shiny
    0.66
     Gloss
    0.66
    Shiny
    0.65
    Activations Density 0.293%

    No Known Activations