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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7195
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    terms associated with medical and athletic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nahilalakip
    -0.72
     kasarigan
    -0.54
    RTSC
    -0.53
    InputBorder
    -0.48
     disambiguazione
    -0.48
     تضيفلها
    -0.47
    ApiModelProperty
    -0.47
    ьаж
    -0.46
     समीक्षाओं
    -0.46
    Portale
    -0.44
    POSITIVE LOGITS
     knees
    0.76
    ath
    0.65
     knee
    0.58
    ich
    0.55
    Knee
    0.53
     legs
    0.53
    ATH
    0.52
    ذ
    0.50
     JavaScript
    0.50
     Knee
    0.50
    Activations Density 0.323%

    No Known Activations