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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 2376
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.55
    Personendaten
    -0.52
    MigrationBuilder
    -0.51
    Personensuche
    -0.44
    postsleuth
    -0.44
    InjectAttribute
    -0.42
    RenderAtEndOf
    -0.42
    ⓧ
    -0.41
     dAtA
    -0.41
    Tembelea
    -0.40
    POSITIVE LOGITS
     doctoral
    1.13
     Doctoral
    0.99
     masters
    0.98
     PhD
    0.96
     doctorate
    0.93
     master
    0.93
     Masters
    0.92
     Ph
    0.92
     Master
    0.91
    Doctoral
    0.90
    Activations Density 0.208%

    No Known Activations