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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 5216
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    terms related to landing processes and airport terminals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InjectAttribute
    -0.60
     CreateTagHelper
    -0.60
    ptonshire
    -0.51
    djangoproject
    -0.50
     Ultimately
    -0.50
    Ultimately
    -0.49
     ultimately
    -0.45
     ModelExpression
    -0.44
    ➯
    -0.43
     AssemblyCulture
    -0.43
    POSITIVE LOGITS
     ending
    1.05
     Landing
    1.02
     landing
    1.02
    Landing
    0.91
     Ending
    0.90
    landing
    0.84
    Ending
    0.78
     endings
    0.76
     terminal
    0.72
     Terminal
    0.71
    Activations Density 0.084%

    No Known Activations