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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 6729
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    Explanations

    references to a specific company or brand, particularly related to "Mer" or "Mercury."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angliski
    -0.47
    httphttps
    -0.44
     embarazadas
    -0.42
     compromisso
    -0.41
     ausdrück
    -0.40
    angdong
    -0.40
    AlterField
    -0.39
     jambes
    -0.39
    uxxxx
    -0.38
     lesiones
    -0.36
    POSITIVE LOGITS
     Mer
    0.87
    Mer
    0.82
     mer
    0.81
     Merit
    0.69
     merit
    0.68
     MER
    0.68
    mer
    0.67
     Merid
    0.65
    MER
    0.63
    merit
    0.62
    Activations Density 1.689%

    No Known Activations