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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 11407
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    proper nouns and brand names, particularly in relation to technology or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hofmann
    -0.34
     متعلقه
    -0.33
    忑
    -0.31
     ακό
    -0.30
     emp
    -0.30
     realize
    -0.30
     Sen
    -0.29
     good
    -0.29
    setObject
    -0.29
    それだけ
    -0.29
    POSITIVE LOGITS
     '\\;'
    0.76
     AssemblyCulture
    0.65
    principalColumn
    0.64
     pleaſure
    0.59
    Diwedd
    0.57
    ########.
    0.57
    principalTable
    0.56
    ReusableCell
    0.54
     TiO
    0.54
    MessageOf
    0.54
    Activations Density 0.151%

    No Known Activations