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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. 11994
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    Explanations

    elements related to recycling and sustainable practices

    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
     acciaio
    -0.35
     विश्वसनीयता
    -0.35
    AuthContext
    -0.34
     vettore
    -0.34
     capuz
    -0.34
     profondità
    -0.33
    expectedResult
    -0.31
     nhân
    -0.30
     Finanzierung
    -0.30
     σύ
    -0.29
    POSITIVE LOGITS
     recycle
    0.85
     recycled
    0.82
     Recycle
    0.81
    recycled
    0.80
     recycling
    0.80
     Recycled
    0.77
     discarded
    0.77
     reused
    0.75
     recy
    0.73
     Recycling
    0.73
    Activations Density 0.219%

    No Known Activations