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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6713
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    Explanations

    quantities and references to "many" or "several" as a measure of abundance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Crusoe
    -0.52
    laise
    -0.49
    VIAF
    -0.49
    ITC
    -0.49
     droid
    -0.48
    Crist
    -0.47
    brate
    -0.46
     Stab
    -0.46
    sport
    -0.46
    swick
    -0.45
    POSITIVE LOGITS
     many
    1.66
     MANY
    1.45
     Many
    1.40
    many
    1.40
    MANY
    1.35
    Many
    1.34
     muchos
    1.16
     viele
    1.10
     muchas
    1.06
     vielen
    1.04
    Activations Density 0.162%

    No Known Activations