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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. 10004
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    references to personal experiences or preferences

    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
    出版年
    -0.65
     disambiguazione
    -0.56
    ✨:
    -0.48
    writeField
    -0.47
     BorderRadius
    -0.46
     MainAxisSize
    -0.44
    fromLTRB
    -0.42
    GraphicsUnit
    -0.42
    PullParser
    -0.41
    RegistryLite
    -0.41
    POSITIVE LOGITS
     liked
    2.16
     liking
    1.99
     likes
    1.90
     love
    1.70
     loves
    1.69
     loved
    1.63
    liked
    1.59
    喜欢
    1.52
     Liked
    1.51
    likes
    1.50
    Activations Density 0.456%

    No Known Activations