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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 909
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    Explanations

    quantifiers that indicate a large quantity or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lauder
    -0.52
     kierow
    -0.47
    ais
    -0.47
     Pesticides
    -0.47
    rolid
    -0.46
    DRS
    -0.45
    HLA
    -0.44
    oflavin
    -0.43
     laure
    -0.43
    hydr
    -0.43
    POSITIVE LOGITS
     MUCH
    0.85
     much
    0.83
    much
    0.80
    Much
    0.79
     Much
    0.77
     more
    0.69
     mucho
    0.66
    Viel
    0.63
    multirow
    0.60
     Mucha
    0.59
    Activations Density 0.067%

    No Known Activations