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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. 9414
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    phrases related to job qualifications and accomplishments

    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
    AsUp
    -0.37
    dflare
    -0.34
     envelo
    -0.29
    piecze
    -0.29
    secre
    -0.29
    議院
    -0.28
     Secre
    -0.28
    })();
    -0.28
     sikker
    -0.27
    Референце
    -0.27
    POSITIVE LOGITS
     kasarigan
    0.83
     qualifications
    0.76
     qualification
    0.68
     antecedentes
    0.68
     ujednoznacz
    0.65
     career
    0.64
     background
    0.60
     accomplishments
    0.60
     achievements
    0.57
     credentials
    0.57
    Activations Density 0.605%

    No Known Activations