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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. 2409
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    Explanations

    concepts related to leadership and management styles

    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
    ########.
    -0.43
    মা
    -0.42
     cita
    -0.41
     Pires
    -0.40
     bolsillos
    -0.40
     utterly
    -0.39
     doppia
    -0.39
    dence
    -0.39
    rungsseite
    -0.39
    得
    -0.39
    POSITIVE LOGITS
    Personendaten
    0.81
     employee
    0.78
     employees
    0.77
    AndEndTag
    0.74
    Tracce
    0.74
     ExecuteAsync
    0.72
     workplace
    0.71
    NameInMap
    0.70
     GetEnumerator
    0.69
    principalTable
    0.69
    Activations Density 0.299%

    No Known Activations