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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4815
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    Explanations

    keywords related to injuries and rehabilitation in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    followed by "led" or "eclip"

    np_acts-logits-general · gemini-2.0-flash

    wide receivers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     soup
    -0.40
     tuba
    -0.39
     voces
    -0.38
    setVerticalGroup
    -0.36
     dungeon
    -0.35
     Soup
    -0.35
     rocas
    -0.35
     swelled
    -0.35
     gruesa
    -0.34
     lumpur
    -0.34
    POSITIVE LOGITS
     sprinter
    0.70
     sprints
    0.67
     spr
    0.64
    SourceChecksum
    0.64
     sprint
    0.60
    sprint
    0.60
     speed
    0.58
     CreateTagHelper
    0.57
     StatelessWidget
    0.57
     speedy
    0.56
    Activations Density 0.269%

    No Known Activations