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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. 7926
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    Explanations

    discussions about sewing and the creation of clothing

    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
    Not in Any Lists

    No Comments

    Negative Logits
     bocas
    -0.47
     romántico
    -0.44
     Câmara
    -0.44
     peligroso
    -0.42
     Führung
    -0.41
     Behör
    -0.41
     Verantwortung
    -0.41
    ⓧ
    -0.40
     rodeado
    -0.40
     Körpers
    -0.40
    POSITIVE LOGITS
     garment
    0.77
     fabrics
    0.75
     garments
    0.71
     textiles
    0.70
     textile
    0.69
     cotton
    0.69
     vải
    0.69
     fabric
    0.68
     sewn
    0.66
     sewing
    0.65
    Activations Density 0.352%

    No Known Activations