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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 3082
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    Explanations

    references to meat and cotton in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الحد
    -0.45
    VertexAttrib
    -0.40
     stadio
    -0.40
     attività
    -0.39
     occurrence
    -0.39
     đời
    -0.38
     Weeknd
    -0.38
    퀀
    -0.38
     thời
    -0.38
    stufe
    -0.38
    POSITIVE LOGITS
    Money
    0.71
     gunpowder
    0.67
    Meat
    0.66
    Wood
    0.66
     Meat
    0.65
    Gasoline
    0.65
    Cotton
    0.64
    ButterKnife
    0.64
     beef
    0.63
     Gasoline
    0.63
    Activations Density 0.885%

    No Known Activations