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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 2459
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    Explanations

    descriptions of food quality and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     myſelf
    -0.58
     fonde
    -0.55
     particulars
    -0.52
    ModelAdmin
    -0.51
     dàng
    -0.51
    ▱
    -0.50
    襯
    -0.50
     Normdatei
    -0.50
    뀜
    -0.50
    tonode
    -0.50
    POSITIVE LOGITS
     quality
    0.50
    quality
    0.49
     QUALITY
    0.38
     qualit
    0.36
    KommentareTeilen
    0.35
    OrNil
    0.35
     qualidade
    0.35
     Quality
    0.35
    质量
    0.35
    Quality
    0.35
    Activations Density 0.333%

    No Known Activations