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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. 8994
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    Explanations

    references to specific individuals or names, particularly in legal or formal contexts

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

    words ending in o or no

    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
     asiática
    -0.68
     líquida
    -0.65
     literaria
    -0.65
     navideña
    -0.65
     alemana
    -0.64
     chilena
    -0.62
     inglesa
    -0.61
     colgante
    -0.60
     térmica
    -0.59
     británica
    -0.59
    POSITIVE LOGITS
    eo
    0.84
    onto
    0.81
    airo
    0.79
    oro
    0.78
    ano
    0.78
    toro
    0.78
    ono
    0.77
    auro
    0.76
    eno
    0.75
    evo
    0.75
    Activations Density 1.173%

    No Known Activations