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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. 12774
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    INDEX
    Explanations

    intensifiers or modifiers that emphasize adjectives and adverbs

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

    Comes after "very" or "quite"

    np_acts-logits-general · gemini-2.0-flash

    very or quite followed by an adjective

    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
    IntoConstraints
    -0.44
     rajut
    -0.39
     basah
    -0.36
     sudad
    -0.35
     Beteiligung
    -0.35
    zeitige
    -0.35
     wyna
    -0.34
     compétences
    -0.34
     Bintang
    -0.33
    立
    -0.33
    POSITIVE LOGITS
    bootstrapcdn
    0.63
     يتيمه
    0.62
     ſind
    0.59
    KommentareTeilen
    0.58
    ſehen
    0.56
    migrationBuilder
    0.56
     queſta
    0.56
    PropertyChanging
    0.55
    OpenHelper
    0.54
     ſever
    0.54
    Activations Density 0.418%

    No Known Activations