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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. 9715
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    INDEX
    Explanations

    quantitative expressions or intensifiers indicating large quantities or degrees

    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
     Lauder
    -0.65
    rolid
    -0.55
    oflavin
    -0.55
    HLA
    -0.55
     laure
    -0.54
    DRS
    -0.54
     BPD
    -0.52
    Orbital
    -0.51
     kierow
    -0.51
     Naidu
    -0.50
    POSITIVE LOGITS
     much
    0.88
     MUCH
    0.87
    much
    0.81
    Much
    0.77
     Much
    0.77
     more
    0.68
     mucho
    0.68
     little
    0.57
     mucha
    0.56
    Viel
    0.55
    Activations Density 0.078%

    No Known Activations