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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. 17526
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    INDEX
    Explanations

    references to the name "Hawking" and its variants in various contexts

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

    words starting with haw

    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
     betweenstory
    -0.76
    fjspx
    -0.54
    endregion
    -0.51
     Landis
    -0.50
    Liza
    -0.48
     endblock
    -0.47
     Lessing
    -0.47
     Liza
    -0.46
    cidae
    -0.46
    trecht
    -0.45
    POSITIVE LOGITS
    Haw
    2.17
     Haw
    2.03
     HAW
    1.84
     haw
    1.80
     Hawkins
    1.52
    haw
    1.49
     Hawthorne
    1.41
    HAW
    1.41
     Hawk
    1.39
     Hawkes
    1.30
    Activations Density 0.003%

    No Known Activations