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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 7155
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    terms related to material composition and structural layers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     faute
    -0.36
    ActionResult
    -0.35
     sujet
    -0.33
    unchecked
    -0.33
    zete
    -0.33
     ries
    -0.33
     Grandfather
    -0.33
    }`).
    -0.32
    textAppearance
    -0.32
    зар
    -0.32
    POSITIVE LOGITS
     layers
    0.91
     layer
    0.88
     Layers
    0.82
     Schichten
    0.81
     thickness
    0.76
     Layer
    0.73
     Schicht
    0.71
     layering
    0.70
    principalTable
    0.67
     LAYER
    0.67
    Activations Density 1.032%

    No Known Activations