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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. 1603
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    terms related to powdered materials and their properties

    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
     パンチラ
    -0.73
     erſt
    -0.72
    <unused43>
    -0.72
    <unused41>
    -0.71
    <unused74>
    -0.71
    <pad>
    -0.71
    <unused42>
    -0.71
    <unused20>
    -0.70
    <unused17>
    -0.70
    [@BOS@]
    -0.70
    POSITIVE LOGITS
     dust
    1.07
     Dust
    0.90
     powder
    0.90
    Dust
    0.90
    dust
    0.86
     polvo
    0.84
     DUST
    0.79
     particles
    0.76
     Powder
    0.75
     dusting
    0.73
    Activations Density 0.648%

    No Known Activations