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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 9701
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    INDEX
    Explanations

    words related to direction or orientation, specifically 'ward' and its variations

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

    direction words ending in ward

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    parsedMessage
    -0.48
    zzlies
    -0.46
    \{\\
    -0.45
     المعيارى
    -0.45
    ReusableCell
    -0.44
    bikini
    -0.43
    :+:
    -0.43
    omitempty
    -0.43
     clichés
    -0.43
     ويكيميديا
    -0.42
    POSITIVE LOGITS
    ward
    3.20
    WARD
    2.56
    wards
    2.28
     ward
    2.05
    Ward
    1.92
     Ward
    1.77
    WARDS
    1.75
     WARD
    1.71
     wards
    1.61
    eward
    1.35
    Activations Density 0.004%

    No Known Activations