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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95786
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    Explanations

    terms related to rounding up and capturing animals, particularly wild horses

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

    rounding up or wrangling animals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dipendenti
    -0.30
    NotExist
    -0.29
     IActionResult
    -0.29
     lägen
    -0.28
     otur
    -0.28
     "..\..\
    -0.27
     betweenstory
    -0.27
    DataInputStream
    -0.26
    setVerticalGroup
    -0.26
     نکن
    -0.26
    POSITIVE LOGITS
     roundup
    1.28
     Roundup
    1.19
     Wrang
    0.68
     lasso
    0.68
     corral
    0.68
     wrangler
    0.66
     Lasso
    0.65
    WriteTagHelper
    0.65
    hunt
    0.61
     Wrangler
    0.61
    Activations Density 0.007%

    No Known Activations