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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 6207
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    text related to ecological studies focusing on alpine ecosystems and soil properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebServlet
    -0.73
    Попис
    -0.68
     Wicidata
    -0.68
     ligiloj
    -0.63
    IntoConstraints
    -0.60
     EconPapers
    -0.60
    TypedDataSet
    -0.59
    ">//
    -0.55
    出版年
    -0.54
    蚵
    -0.53
    POSITIVE LOGITS
     glacier
    0.66
     summit
    0.59
     alpine
    0.56
     glaciers
    0.56
     pass
    0.50
     Glacier
    0.50
     glacial
    0.50
     avalanche
    0.49
    summit
    0.45
     gondola
    0.45
    Activations Density 0.205%

    No Known Activations