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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9524
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    Explanations

    attributes and characteristics related to leather products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cucchiaio
    -0.45
     bicchiere
    -0.44
    Abitanti
    -0.44
     cucchia
    -0.42
    astéroïdes
    -0.41
     kollu
    -0.41
    dersfield
    -0.40
    Vidite
    -0.40
     AssemblyTitle
    -0.39
     Onco
    -0.38
    POSITIVE LOGITS
     leather
    1.41
     Leather
    1.34
    Leather
    1.29
    leather
    1.27
     cuir
    0.94
     چرم
    0.93
     cuero
    0.92
     couro
    0.89
    レザー
    0.86
     Leder
    0.82
    Activations Density 0.392%

    No Known Activations