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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9987
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    Explanations

    references to the word "Tan" and its variations, indicating a focus on names or terms that include "Tan."

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

    starting with "Tan" or "Tann"

    np_acts-logits-general · gemini-2.0-flash

    tan or tannins

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cyfarwyddwr
    -0.49
    AsUp
    -0.46
    UserScript
    -0.46
    NameInMap
    -0.43
     Италијани
    -0.43
    xnn
    -0.42
     cumplido
    -0.39
     производстве
    -0.38
     Савезне
    -0.38
    uxxxx
    -0.38
    POSITIVE LOGITS
     Tenn
    0.50
    +#+#
    0.49
    getExtras
    0.49
     المعيارى
    0.49
     Tennessee
    0.48
     Tan
    0.46
     Tend
    0.46
     TAN
    0.45
    IsContent
    0.45
     TEND
    0.45
    Activations Density 0.182%

    No Known Activations