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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. 10082
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    INDEX
    Explanations

    names of people associated with legal or political contexts

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

    Names followed by a second name or initial

    np_acts-logits-general · gemini-2.0-flash

    given names followed by surnames

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Rihanna
    -0.53
    Cassie
    -0.52
    Mme
    -0.48
    xymatrix
    -0.48
    Becky
    -0.47
     princesses
    -0.47
    Gandhi
    -0.46
    MADRID
    -0.46
    Werbung
    -0.46
    Maggie
    -0.46
    POSITIVE LOGITS
     Edward
    0.65
     Michael
    0.56
     Joseph
    0.52
     Robert
    0.50
     William
    0.49
    Datuak
    0.48
     Charles
    0.47
     James
    0.46
     Andrew
    0.46
     Anthony
    0.44
    Activations Density 0.194%

    No Known Activations