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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15635
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    INDEX
    Explanations

    prominent names or initials of individuals involved in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    following a capital letter

    np_acts-logits-general · gemini-2.0-flash

    people's names and initials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Schenk
    -0.53
     Hecht
    -0.48
     Schell
    -0.47
     Llew
    -0.46
     infierno
    -0.46
     Salter
    -0.46
     gruesa
    -0.46
     Seitz
    -0.44
     avanzado
    -0.44
     península
    -0.44
    POSITIVE LOGITS
     DeSantis
    0.52
     CVT
    0.50
     Faux
    0.49
     Converse
    0.49
     Setter
    0.48
     Accu
    0.47
     Sb
    0.47
     Whig
    0.47
     Resp
    0.47
     Bruins
    0.47
    Activations Density 0.460%

    No Known Activations