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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. 11578
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    Explanations

    mentions of talent and its development in various contexts

    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
     wireType
    -0.43
     tetrachloride
    -0.38
     recul
    -0.35
    :✨
    -0.34
    wapV
    -0.33
    GTCX
    -0.33
     vieill
    -0.32
    кисло
    -0.32
     drapeau
    -0.32
    unknownFields
    -0.32
    POSITIVE LOGITS
     talent
    3.06
     talents
    2.69
    talent
    2.56
     talento
    2.50
     Talent
    2.44
    Talent
    2.41
     talentos
    2.25
     talented
    2.23
     Talents
    2.19
     талан
    2.16
    Activations Density 0.368%

    No Known Activations