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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4813
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    references to professional development and career paths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lighthouse
    -0.45
     Fudge
    -0.43
     Sandstone
    -0.43
     squire
    -0.43
     Whites
    -0.43
     Bomb
    -0.42
     Sulphur
    -0.42
     Weiß
    -0.42
     Bridgewater
    -0.41
    tvar
    -0.41
    POSITIVE LOGITS
     career
    1.57
    career
    1.46
    Career
    1.37
     careers
    1.30
     Career
    1.27
     CAREER
    1.26
     carreira
    1.26
     carriera
    1.14
    CAREER
    1.10
    Carreira
    1.09
    Activations Density 0.089%

    No Known Activations