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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6
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    Explanations

    specific material properties and features in product descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StoryboardSegue
    -0.38
    BeforeMethod
    -0.37
    deutig
    -0.37
    recrow
    -0.37
     Ambrose
    -0.37
    ViewSet
    -0.37
     riguard
    -0.37
     мәкал
    -0.36
    acebook
    -0.36
     carried
    -0.35
    POSITIVE LOGITS
    MigrationBuilder
    0.62
    materials
    0.61
     material
    0.59
     materials
    0.57
    ulemon
    0.56
     softness
    0.56
     matériau
    0.56
     swatches
    0.55
     textures
    0.55
     durability
    0.55
    Activations Density 0.456%

    No Known Activations