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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5974
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    Explanations

    terms related to multiple-layered or multi-faceted concepts and structures

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

    "Multi" or "multiple" prefixes

    np_acts-logits-general · gemini-2.0-flash

    multi

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Concerning
    -0.47
     Concerning
    -0.41
    toppers
    -0.40
    Revenir
    -0.40
     Ablauf
    -0.35
    arrivo
    -0.35
    cove
    -0.35
     Penga
    -0.35
    saraba
    -0.35
    ộ
    -0.35
    POSITIVE LOGITS
     multiple
    0.90
     multi
    0.89
     MULTIPLE
    0.82
     Multi
    0.81
     MULTI
    0.81
    multiple
    0.80
     Multiple
    0.78
     multiples
    0.77
     MULT
    0.75
     multil
    0.75
    Activations Density 0.324%

    No Known Activations