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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 11480
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    Explanations

    terms related to fat and dietary health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.93
     Carrington
    -0.80
    Collegamenti
    -0.80
    EDEFAULT
    -0.78
    setVerticalGroup
    -0.78
    subpackage
    -0.75
    principalTable
    -0.75
    الحياه
    -0.74
    kwds
    -0.72
    seigneur
    -0.71
    POSITIVE LOGITS
     fat
    1.70
    Fat
    1.50
     Fat
    1.49
    fat
    1.44
     thin
    1.25
     FAT
    1.25
    Thin
    1.14
     Thin
    1.13
    FAT
    1.12
     thick
    1.09
    Activations Density 0.079%

    No Known Activations