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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7574
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    names and titles of individuals in professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     coordinator
    -0.52
     coordinators
    -0.47
    Coordinator
    -0.46
     assistants
    -0.45
    RectangleBorder
    -0.45
    ordinate
    -0.45
     Coordinator
    -0.44
     Assistants
    -0.43
    coordinator
    -0.43
     assistant
    -0.43
    POSITIVE LOGITS
     CEO
    1.71
    CEO
    1.42
     ceo
    1.15
     COO
    1.11
     Founder
    1.10
     founder
    1.07
     CEOs
    1.06
     Chief
    1.02
     executive
    0.98
    Founder
    0.97
    Activations Density 0.205%

    No Known Activations