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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10883
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    Explanations

    specific materials, processes, and properties related to metallurgy and metalworking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     metálico
    -0.66
     métallique
    -0.63
     metálica
    -0.56
     métal
    -0.49
    METAL
    -0.47
     metal
    -0.46
     colgante
    -0.45
    Metal
    -0.45
     فلزی
    -0.44
     leçon
    -0.43
    POSITIVE LOGITS
     pure
    0.89
    pure
    0.78
     purest
    0.76
     purified
    0.75
     grade
    0.68
    纯
    0.68
    純
    0.67
     Pure
    0.67
    Pure
    0.66
    grade
    0.65
    Activations Density 0.584%

    No Known Activations