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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. 11713
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    Explanations

    references to career milestones and accomplishments

    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
     Sotto
    -0.42
     Lighthouse
    -0.41
     Sycamore
    -0.40
     Underwood
    -0.40
     Wash
    -0.40
     Nix
    -0.40
     Shelter
    -0.40
    whitespace
    -0.39
     injector
    -0.39
    Escu
    -0.38
    POSITIVE LOGITS
     career
    1.14
    career
    1.05
    Career
    1.02
     carreira
    1.00
     Career
    0.94
     careers
    0.93
     carriera
    0.91
     CAREER
    0.89
    Careers
    0.85
    Carreira
    0.84
    Activations Density 0.072%

    No Known Activations