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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14201
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    Explanations

    terms related to charring or burning in the context of cooking or food science

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GTCX
    -0.54
    hoeddwyd
    -0.49
    evening
    -0.43
     <=",
    -0.43
    енча
    -0.43
    TestingModule
    -0.43
    Ment
    -0.43
    findpost
    -0.43
    enumii
    -0.42
     بيها
    -0.42
    POSITIVE LOGITS
     Char
    0.63
     CHAR
    0.60
     char
    0.52
    CHAR
    0.51
    Char
    0.48
    PMailer
    0.46
    UCHAR
    0.43
    ValueStyle
    0.41
    cter
    0.39
     Schar
    0.38
    Activations Density 0.111%

    No Known Activations