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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1916
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    Explanations

    terms related to wetness and dryness 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 @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DbType
    -0.64
     defStyle
    -0.56
    BindingResult
    -0.55
    ❋
    -0.54
    +#+#
    -0.52
     typelib
    -0.49
     DriverManager
    -0.48
    帖最后由
    -0.47
     AppModule
    -0.47
     piz
    -0.46
    POSITIVE LOGITS
    Northern
    0.67
     Northern
    0.64
     wet
    0.61
     Dry
    0.60
    Dry
    0.59
    dry
    0.58
     dry
    0.57
     NORTHERN
    0.56
     régionale
    0.55
    wet
    0.55
    Activations Density 1.750%

    No Known Activations