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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5449
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    INDEX
    Explanations

    intensifiers that express a strong degree of emphasis or quality

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

    "very" followed by an adjective

    np_acts-logits-general · gemini-2.0-flash

    very plus descriptor

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    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
    -0.50
    openConnection
    -0.45
    Composable
    -0.43
    SharedModule
    -0.40
     Psyche
    -0.40
     hindurch
    -0.40
     الرياضيه
    -0.40
     Muscat
    -0.39
    peth
    -0.39
    shaped
    -0.39
    POSITIVE LOGITS
    Molto
    0.67
     Very
    0.63
     Molto
    0.62
    ">//
    0.58
     VERY
    0.57
     very
    0.57
    Very
    0.55
    very
    0.55
     much
    0.53
    Muy
    0.52
    Activations Density 0.083%

    No Known Activations