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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. 4383
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    INDEX
    Explanations

    references to the concept of 'living' or 'lifestyle'

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

    living people or entities

    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
     deleteById
    -0.54
    ähteet
    -0.54
     pö
    -0.52
     obicei
    -0.51
     McNeil
    -0.51
    <bos>
    -0.49
     jalur
    -0.48
     Duff
    -0.48
     oreja
    -0.48
     companyId
    -0.47
    POSITIVE LOGITS
    living
    1.93
     living
    1.91
    Living
    1.89
     Living
    1.82
     LIVING
    1.76
    LIVING
    1.68
     Livingston
    1.07
     residing
    0.90
     Livingstone
    0.90
     vivant
    0.88
    Activations Density 0.009%

    No Known Activations