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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3135
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    specific nouns related to both academic contexts and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wikimedijinoj
    -0.51
    PERTIES
    -0.46
     ErrIntOverflow
    -0.44
     ſind
    -0.42
     Audiodateien
    -0.42
     incrust
    -0.41
     abstrato
    -0.41
     GreatSchools
    -0.40
    Diweddarwch
    -0.40
     tiguan
    -0.40
    POSITIVE LOGITS
     themselves
    0.55
     itself
    0.55
    themselves
    0.48
     selber
    0.48
     تضيفلها
    0.47
     herself
    0.45
    itself
    0.44
     ""],
    0.43
     Itself
    0.42
    */].
    0.39
    Activations Density 1.144%

    No Known Activations