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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 16147
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    Explanations

    references to chairs and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    diagnostics
    -0.48
    ensical
    -0.46
    gnore
    -0.42
    ჲ
    -0.42
    oriasis
    -0.42
     dataSnapshot
    -0.41
     diagnoses
    -0.40
    vities
    -0.40
    transmitters
    -0.40
    Ingrid
    -0.40
    POSITIVE LOGITS
     chairs
    1.15
     chair
    1.13
     Chairs
    1.08
     Chair
    1.06
    Chair
    1.05
     CHAIR
    1.02
    Chairs
    0.93
    chair
    0.92
    chairs
    0.85
    椅子
    0.84
    Activations Density 0.238%

    No Known Activations