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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 8120
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    INDEX
    Explanations

    words and phrases related to food, specifically cheese and cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    es
    -0.52
     Ressources
    -0.43
    Билгалдахарш
    -0.41
    complexContent
    -0.40
    elemField
    -0.39
    度
    -0.39
    又不是
    -0.38
    ApiModelProperty
    -0.38
    putExtra
    -0.36
     beque
    -0.36
    POSITIVE LOGITS
    eless
    0.60
    estyles
    0.56
    estar
    0.53
    eman
    0.52
    estone
    0.52
    ethe
    0.52
    estyle
    0.51
    etree
    0.51
    ings
    0.51
    eability
    0.51
    Activations Density 0.559%

    No Known Activations