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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1461
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    Explanations

    phrases related to gaining familiarity or knowledge, especially in the context ofMedical and technological expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WithIOException
    -0.51
    hyrchwyd
    -0.49
    mybatisplus
    -0.41
     nakalista
    -0.41
     AspNetCore
    -0.39
     propOrder
    -0.39
    Demografía
    -0.38
    CloseOperation
    -0.37
    DataAnnotations
    -0.36
    ⃣
    -0.36
    POSITIVE LOGITS
     familiar
    3.14
    familiar
    2.73
     familiarity
    2.69
    Familiar
    2.55
     Familiar
    2.55
     familiarize
    2.16
    熟悉
    2.08
     acquainted
    2.05
    famili
    2.03
     famili
    1.95
    Activations Density 0.398%

    No Known Activations