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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15585
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    Explanations

    references to fatigue or tiredness 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 @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kelurahan
    -0.41
    lappe
    -0.37
    AISSEE
    -0.36
    Spécifications
    -0.36
    
    -0.35
    おめでとうございます
    -0.35
    temun
    -0.33
     posthum
    -0.33
    </tfoot>
    -0.33
     Catawiki
    -0.33
    POSITIVE LOGITS
     exhaustion
    2.56
     exhausted
    2.53
     tired
    2.53
     fatigue
    2.52
     fatigued
    2.34
     tiredness
    2.31
     Tired
    2.28
     Exhaus
    2.28
     Fatigue
    2.22
     tiring
    2.14
    Activations Density 0.649%

    No Known Activations