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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. 3580
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    Explanations

    quantities and counts related to large numbers of people or items

    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
    Vidite
    -0.59
    extAlignment
    -0.56
    MemoryWarning
    -0.54
    -------------</
    -0.54
    참고
    -0.51
    lasma
    -0.51
    ⓧ
    -0.50
     متعلقه
    -0.50
    batore
    -0.49
    yntaxException
    -0.48
    POSITIVE LOGITS
     thousands
    1.05
     hundreds
    1.00
    thousands
    0.93
     Thousands
    0.92
     Hundreds
    0.89
    Thousands
    0.88
     millions
    0.87
     THOUS
    0.86
    hundreds
    0.83
     dozens
    0.82
    Activations Density 0.123%

    No Known Activations