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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2927
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    Explanations

    references to employment or job-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transparencia
    -0.52
     Frankel
    -0.50
     trasparente
    -0.47
     Weiss
    -0.45
     transparan
    -0.42
    IonicModule
    -0.42
     Monteiro
    -0.42
     Flamingo
    -0.42
    Andre
    -0.41
     West
    -0.41
    POSITIVE LOGITS
     Job
    1.04
    Job
    1.02
     job
    1.01
     JOB
    0.97
    JOB
    0.93
    getJob
    0.92
    job
    0.91
     Jobs
    0.85
    Jobs
    0.85
     JOBS
    0.83
    Activations Density 0.091%

    No Known Activations