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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9150
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    terms or discussions related to nutrition and healthy eating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bootstrapcdn
    -0.46
    BASEPATH
    -0.37
    -------------</
    -0.34
    endorong
    -0.34
     pájaro
    -0.34
     EClass
    -0.34
    قایناق‌لار
    -0.34
    eseorang
    -0.34
     CGSize
    -0.33
     lumea
    -0.33
    POSITIVE LOGITS
     Boiling
    0.77
     boiling
    0.76
     foods
    0.68
    Magic
    0.65
    boiling
    0.64
    Foods
    0.64
     Magic
    0.64
     Foods
    0.62
    magic
    0.59
     boil
    0.59
    Activations Density 0.056%

    No Known Activations