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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. 11627
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    Explanations

    specific metals and their compounds, particularly in the context of chemical processes and treatments

    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
    -------
    -0.46
     estekak
    -0.44
    NonQuery
    -0.42
    烴
    -0.42
     Mato
    -0.41
    submitted
    -0.41
    Sklici
    -0.39
    銨
    -0.39
    getBounds
    -0.38
    Krak
    -0.36
    POSITIVE LOGITS
     elements
    0.76
     element
    0.74
    元素
    0.66
     copper
    0.66
    elements
    0.65
     Elements
    0.65
    Element
    0.64
     Element
    0.64
     iron
    0.63
    element
    0.63
    Activations Density 0.824%

    No Known Activations