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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. 7101
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    references to job roles and professional responsibilities

    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
    Personendaten
    -0.57
     nakalista
    -0.52
     leerlingen
    -0.49
    Employers
    -0.49
    WithIdentifier
    -0.48
     Employers
    -0.47
     Arbeitgeber
    -0.47
    humanité
    -0.46
     employers
    -0.46
     empleos
    -0.45
    POSITIVE LOGITS
     senior
    0.82
     divisional
    0.74
    senior
    0.73
     internal
    0.72
     departments
    0.71
     junior
    0.70
     Senior
    0.68
     divisions
    0.67
     departmental
    0.66
     department
    0.64
    Activations Density 0.354%

    No Known Activations