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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. 15850
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    keywords related to priorities and decision-making processes

    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
    toMatchSnapshot
    -0.38
    блу
    -0.36
    یرات
    -0.34
    RenderAtEndOf
    -0.34
    SequentialGroup
    -0.34
    CrossRef
    -0.33
    âme
    -0.33
    rmdir
    -0.33
    ∎
    -0.32
    руд
    -0.32
    POSITIVE LOGITS
     priority
    3.27
    priority
    2.80
     Priority
    2.78
     priorities
    2.77
    Priority
    2.63
     prioritize
    2.63
     prioritized
    2.59
     prioriti
    2.58
     prioridad
    2.55
     prioritise
    2.55
    Activations Density 0.545%

    No Known Activations