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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 13884
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    Explanations

    materials and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    materials like plastic, metal, wood, and leather.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pulseira
    -0.56
     desmotivaciones
    -0.56
     Bewußt
    -0.54
     święta
    -0.52
     EconPapers
    -0.51
     vivimos
    -0.49
     pulseras
    -0.48
    HomeAsUpEnabled
    -0.48
     pulseira
    -0.48
     Ursache
    -0.47
    POSITIVE LOGITS
     rubber
    0.72
     leather
    0.67
     Rubber
    0.62
     plastic
    0.62
     metal
    0.60
     Plastic
    0.58
    rubber
    0.55
     aluminum
    0.53
     Leather
    0.53
    Rubber
    0.53
    Activations Density 0.319%

    No Known Activations