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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6640
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    Explanations

    elements related to specific individuals or classifications within a context (e.g., names, species, and events)

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

    "Gra", "GR", and "Graham"

    np_acts-logits-general · gemini-2.0-flash

    Gra, Gr, GR, or Graham

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Toulon
    -0.67
     Chalmers
    -0.63
    TargetException
    -0.62
     Merlin
    -0.61
     coyote
    -0.59
     Cheney
    -0.58
    Suzuki
    -0.58
     Leopoldo
    -0.58
    StoryboardSegue
    -0.57
     suzuki
    -0.57
    POSITIVE LOGITS
     Gra
    2.63
    Gra
    2.48
     gra
    2.44
    gra
    2.31
     GR
    2.11
     GRA
    2.02
    GR
    1.92
    GRA
    1.91
     Gr
    1.89
     gr
    1.84
    Activations Density 0.368%

    No Known Activations