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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. 95555
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    Explanations

    terms related to the treatment of individuals, especially in healthcare or social contexts

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

    how people are treated

    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
     gustaría
    -0.34
     valiente
    -0.34
     Seitz
    -0.33
     zengin
    -0.32
     Benitez
    -0.31
     gustan
    -0.30
    BibitemOpen
    -0.30
     worrying
    -0.30
     voluntarios
    -0.30
     mortos
    -0.30
    POSITIVE LOGITS
     treatment
    0.84
    treatment
    0.80
     Treatment
    0.77
    Treatment
    0.77
     treat
    0.76
     Treating
    0.75
     treating
    0.73
     treated
    0.73
     Treat
    0.73
     TREATMENT
    0.73
    Activations Density 0.093%

    No Known Activations