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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. 66087
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    Explanations

    adjectives describing texture and crispness in food

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

    crisp, crunchy textures

    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
    ьаж
    -0.43
    verifyException
    -0.43
     Nex
    -0.39
    Derbyniad
    -0.39
    exitRule
    -0.39
    ftagPool
    -0.38
     slower
    -0.37
    SBATCH
    -0.37
     tesis
    -0.37
    ایناق
    -0.36
    POSITIVE LOGITS
     crackling
    1.00
     crisp
    0.87
     Crisp
    0.83
     crispy
    0.81
     crunchy
    0.76
    runchy
    0.75
    crispy
    0.73
     crun
    0.71
     crunch
    0.70
     Crispy
    0.69
    Activations Density 0.010%

    No Known Activations