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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 1073
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    words related to dietary habits and health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abestanden
    -0.66
    Referències
    -0.63
    存于互联网档案馆
    -0.60
    原始内容存档于
    -0.59
     оригіналу
    -0.57
     ModelExpression
    -0.57
    первых
    -0.56
    sidemargin
    -0.56
    guém
    -0.56
     arşivlendi
    -0.56
    POSITIVE LOGITS
     often
    2.05
     frequently
    1.97
     regularly
    1.64
    frequently
    1.59
     Often
    1.53
    often
    1.52
    Often
    1.46
     Frequently
    1.46
     spesso
    1.45
     frequentemente
    1.35
    Activations Density 0.377%

    No Known Activations