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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3683
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    Explanations

    references to materials and their properties in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     queſta
    -0.85
    GEBURTSDATUM
    -0.76
     ainfi
    -0.69
     Roskov
    -0.69
     setUsername
    -0.65
    berdayakan
    -0.65
    posedge
    -0.64
     hiperten
    -0.63
    niſſe
    -0.63
     kasarigan
    -0.63
    POSITIVE LOGITS
     materials
    0.94
     Material
    0.94
     material
    0.94
    material
    0.91
     Materials
    0.86
    materials
    0.85
    Material
    0.85
    Materials
    0.75
     Mater
    0.73
     MATERIAL
    0.72
    Activations Density 0.198%

    No Known Activations