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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6830
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    Explanations

    concepts related to employee management and retention strategies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.56
     propOrder
    -0.52
    glPopMatrix
    -0.51
     Obrador
    -0.51
    endforeach
    -0.49
    SizeMode
    -0.49
    ösung
    -0.47
    genheim
    -0.46
     gynhyrchwyd
    -0.46
    attled
    -0.46
    POSITIVE LOGITS
     attracting
    0.73
     recruitment
    0.73
     attraction
    0.68
     attract
    0.67
     recruiting
    0.66
    Attra
    0.66
     Attra
    0.64
     Attraction
    0.63
     retention
    0.63
    attraction
    0.62
    Activations Density 0.257%

    No Known Activations