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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6426
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    Explanations

    commonly used materials and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wooden
    -0.48
    appid
    -0.44
     métallique
    -0.43
    wooden
    -0.42
     ladrillo
    -0.42
     brick
    -0.42
     Bois
    -0.41
     bricolaje
    -0.41
    InlineData
    -0.41
     kovo
    -0.40
    POSITIVE LOGITS
     premium
    0.55
     environmentally
    0.54
     thickened
    0.52
     autorytatywna
    0.47
     grade
    0.47
     ABS
    0.46
     tough
    0.45
     eco
    0.44
     toughest
    0.44
     экологи
    0.44
    Activations Density 0.231%

    No Known Activations