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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5248
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    Explanations

    references to leather materials and products

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ProtoMessage
    -0.67
    Timmy
    -0.56
    BibitemShut
    -0.55
     estekak
    -0.53
     Timmy
    -0.52
    blockList
    -0.52
    flink
    -0.52
    jooq
    -0.50
     Bills
    -0.50
    principalColumn
    -0.50
    POSITIVE LOGITS
     leather
    1.33
    leather
    1.21
     Leather
    1.20
    Leather
    1.20
     cuero
    0.94
     چرم
    0.86
     cuir
    0.85
     Leder
    0.84
    レザー
    0.83
     couro
    0.80
    Activations Density 0.085%

    No Known Activations