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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12878
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    terms related to aviation and piloting requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GenerationType
    -0.47
     Infórmanos
    -0.46
     pinulongan
    -0.44
    流水
    -0.38
     flowed
    -0.38
    neté
    -0.38
    StandardCharsets
    -0.36
    的车
    -0.35
    TabIndex
    -0.35
    Road
    -0.35
    POSITIVE LOGITS
     landing
    1.27
     landings
    1.04
     Landing
    1.02
    Landing
    1.02
     landed
    1.02
    landing
    1.00
     hovering
    0.88
     altitude
    0.78
     touchdown
    0.75
     descent
    0.73
    Activations Density 0.359%

    No Known Activations