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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 2618
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    Explanations

    terms related to moisture and wetness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DeleteMapping
    -0.77
    codegen
    -0.72
    reportWebVitals
    -0.70
    StructEnd
    -0.69
    .*")]
    -0.69
    QMetaType
    -0.69
    bootstrapcdn
    -0.69
    TemporalType
    -0.68
     Unidas
    -0.67
    Personensuche
    -0.67
    POSITIVE LOGITS
     wet
    1.55
    wet
    1.34
    Wet
    1.33
     Wet
    1.31
     WET
    1.29
     moist
    1.25
    WET
    1.13
    湿
    1.12
     wetter
    1.10
     damp
    1.10
    Activations Density 0.180%

    No Known Activations