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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8929
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    aspects related to hiring and employment processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parse
    -0.39
    луй
    -0.38
     Concorde
    -0.38
    Parse
    -0.35
     parse
    -0.35
    prelude
    -0.35
    RTLR
    -0.35
    cloudfront
    -0.34
    EndInit
    -0.34
     Jewel
    -0.34
    POSITIVE LOGITS
     hiring
    2.95
     hire
    2.89
     hired
    2.83
     hires
    2.58
     Hiring
    2.48
     Hire
    2.47
    Hiring
    2.45
    Hire
    2.39
     contratar
    2.11
    hire
    2.00
    Activations Density 0.621%

    No Known Activations