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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 12490
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    Explanations

    references to the word "tan" along with its variations and associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.52
     onCancelled
    -0.47
     wireType
    -0.46
     dezelve
    -0.44
    BeginContext
    -0.44
     Mess
    -0.43
    hyrchwyd
    -0.42
    Rohy
    -0.41
    Mess
    -0.39
     blas
    -0.39
    POSITIVE LOGITS
     Tan
    1.23
    Tan
    1.16
     tan
    1.14
     TAN
    1.10
    TAN
    1.04
    tan
    0.95
     Tang
    0.85
     Tanner
    0.81
     Sang
    0.77
     TANG
    0.73
    Activations Density 0.697%

    No Known Activations