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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. 5572
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    Explanations

    occurrences of proper nouns and names within the text

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

    Last names

    np_acts-logits-general · gemini-2.0-flash

    surnames

    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
     Bress
    -0.78
     Kraw
    -0.71
     Kowal
    -0.70
     Mazz
    -0.66
     Kowalski
    -0.66
     Reim
    -0.65
    Personensuche
    -0.65
     Jorg
    -0.64
     Gub
    -0.64
     Steff
    -0.63
    POSITIVE LOGITS
     Fürst
    0.40
    osoba
    0.36
     Doble
    0.36
    verifyException
    0.35
     Fields
    0.34
     feil
    0.34
     lucas
    0.33
     Kunde
    0.33
     Price
    0.33
     Wood
    0.33
    Activations Density 1.694%

    No Known Activations