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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2690
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    INDEX
    Explanations

    references to notable individuals and their achievements

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

    Notable people

    np_acts-logits-general · gemini-2.0-flash

    people of prominence

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jähriger
    -0.38
     terapé
    -0.38
     zákaz
    -0.38
     atlik
    -0.36
     때문
    -0.35
    Rtl
    -0.35
     disposição
    -0.35
     Wettbewerb
    -0.35
    corrência
    -0.34
     Eigentü
    -0.34
    POSITIVE LOGITS
    nalités
    0.64
     personalities
    0.63
     celebrities
    0.62
     أعلام
    0.59
     eminence
    0.59
     ddelweddau
    0.58
     eminent
    0.57
     celebs
    0.55
    InjectAttribute
    0.54
     يتيمه
    0.54
    Activations Density 0.608%

    No Known Activations