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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7335
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    Explanations

    references to comfort and warmth in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -1.06
     myſelf
    -0.94
    ModelAdmin
    -0.87
    verwijspagina
    -0.83
     poffible
    -0.82
     Efq
    -0.82
     Majefty
    -0.81
     himſelf
    -0.79
     uſed
    -0.79
     Theſe
    -0.79
    POSITIVE LOGITS
     warm
    0.93
     warmth
    0.92
     warms
    0.91
     warming
    0.86
    warm
    0.83
     WARM
    0.81
     warmed
    0.80
     Warm
    0.78
    暖
    0.77
    Warm
    0.77
    Activations Density 0.159%

    No Known Activations