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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. 10182
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    terms related to landing and amphibious vehicles

    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
     استنادى
    -0.43
    CDATA
    -0.42
    "}")
    -0.40
     Mold
    -0.36
    RRect
    -0.36
    sidemargin
    -0.35
    amssymb
    -0.35
     Sus
    -0.33
     CreateTagHelper
    -0.33
     {?}
    -0.33
    POSITIVE LOGITS
     landing
    2.30
    Landing
    1.95
     Landing
    1.92
    landing
    1.90
     landed
    1.90
     landings
    1.84
     desembar
    1.42
     LAND
    1.25
     land
    1.24
     ashore
    1.23
    Activations Density 0.243%

    No Known Activations