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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 84948
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    INDEX
    Explanations

    occurrences of the word "name" and its variations in structured data formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    names and titles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.71
    IntoConstraints
    -0.58
     estekak
    -0.55
    GEBURTS
    -0.47
     '\\;'
    -0.47
     getItemId
    -0.46
     мәкал
    -0.46
    RoutingModule
    -0.45
     <<<<<<<<<<<<<<
    -0.45
    PyExc
    -0.45
    POSITIVE LOGITS
     descriptive
    0.62
     name
    0.61
    name
    0.55
    DisplayName
    0.54
     title
    0.54
    NAME
    0.52
    fullname
    0.52
     NAME
    0.51
     AssemblyCompany
    0.50
    title
    0.49
    Activations Density 0.034%

    No Known Activations