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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7089
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    Explanations

    references to comfort 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 @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.49
     GenerationType
    -0.43
     ſte
    -0.40
    MockBean
    -0.39
    govina
    -0.38
    belajaran
    -0.36
    出版年
    -0.36
    principalColumn
    -0.36
    keyColumn
    -0.35
    HtmlAttribute
    -0.35
    POSITIVE LOGITS
     comfort
    3.23
     comfortable
    3.11
     COMFORT
    2.88
    comfort
    2.86
    Comfort
    2.83
     Comfort
    2.78
    comfortable
    2.75
     Comfortable
    2.73
    Comfortable
    2.66
     comfor
    2.56
    Activations Density 0.335%

    No Known Activations