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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. 9395
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    Explanations

    references to brands or products, particularly automotive related terminology

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

    Tokens starting with "Wi" and followed by specific letters

    np_acts-logits-general · gemini-2.0-flash

    wid and wit

    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
    Билгалдахарш
    -0.79
    +#+#
    -0.54
    verwijspagina
    -0.54
    URLException
    -0.51
    ьажоргаш
    -0.51
     المعيارى
    -0.50
    Rohy
    -0.50
    ArgsConstructor
    -0.49
     Photocase
    -0.49
     يتيمه
    -0.49
    POSITIVE LOGITS
     wid
    0.58
    Wid
    0.54
     WID
    0.54
    wid
    0.51
     Wid
    0.51
    WID
    0.42
    Wit
    0.40
     Wit
    0.40
     Wis
    0.38
    DockStyle
    0.38
    Activations Density 0.187%

    No Known Activations