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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1983
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    Explanations

    references to fat in dietary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itſelf
    -1.41
     myſelf
    -1.31
     pleaſure
    -1.29
     themſelves
    -1.28
     reaſon
    -1.26
     purpoſe
    -1.19
     ſtate
    -1.18
     cauſe
    -1.17
     Jefus
    -1.14
     ſtand
    -1.12
    POSITIVE LOGITS
     hi
    0.94
     his
    0.90
     Hi
    0.72
     her
    0.70
     fat
    0.68
     Fat
    0.66
    JNIEnv
    0.64
    arian
    0.61
    usepackage
    0.58
     autorytatywna
    0.58
    Activations Density 0.224%

    No Known Activations