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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 1507
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    Explanations

    names of individuals in the context of their professions and notable roles

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

    notable people's professions

    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
     NSCoder
    -0.53
    complexContent
    -0.46
     pinulongan
    -0.45
     Վերցված
    -0.44
     vs
    -0.40
    GeoNames
    -0.39
     itself
    -0.38
     numerus
    -0.38
    XmlRootElement
    -0.37
    holung
    -0.37
    POSITIVE LOGITS
     born
    0.70
     educator
    0.68
    Born
    0.60
     specialising
    0.60
     urodz
    0.60
     renowned
    0.59
     surla
    0.57
    journalist
    0.57
     Born
    0.56
     specializing
    0.56
    Activations Density 0.034%

    No Known Activations