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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5642
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    Explanations

    specific chemical compounds and their applications in processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kalt
    -0.35
     Abp
    -0.35
     Bélgica
    -0.33
    sweise
    -0.33
    corazón
    -0.32
    gypte
    -0.32
    copper
    -0.30
    Piece
    -0.30
     acús
    -0.30
    Naphthalene
    -0.30
    POSITIVE LOGITS
     oxide
    0.87
     oxides
    0.76
     Oxide
    0.73
     SiO
    0.73
    SiO
    0.67
    oxide
    0.66
    氧化
    0.65
     Silicon
    0.62
     silica
    0.60
     dioxide
    0.60
    Activations Density 0.744%

    No Known Activations