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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 12938
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    Explanations

    executive titles and positions within organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     []:
    -0.48
    expandindo
    -0.43
    NameInMap
    -0.43
     beroep
    -0.42
     CommonModule
    -0.41
    ніципа
    -0.41
     médicale
    -0.40
     fotográfico
    -0.40
     mijne
    -0.40
    conditionally
    -0.39
    POSITIVE LOGITS
     CEO
    0.78
     executive
    0.71
     executives
    0.66
     leadership
    0.63
     managerial
    0.60
     ceo
    0.59
     strategic
    0.58
     Executive
    0.58
    CEO
    0.58
     Chief
    0.57
    Activations Density 0.149%

    No Known Activations