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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 9854
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    Explanations

    references to various types of beds and bedding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rifice
    -0.45
    SqlDataReader
    -0.42
    temps
    -0.42
    zeli
    -0.40
     Zap
    -0.40
    agents
    -0.40
     MonoBehaviour
    -0.40
     morada
    -0.40
    departments
    -0.40
     Edelman
    -0.40
    POSITIVE LOGITS
     bed
    1.39
     beds
    1.20
    Bed
    1.06
     Beds
    1.04
     Bed
    1.02
    Beds
    1.02
     łóż
    1.02
    bed
    0.96
     mattress
    0.92
     BED
    0.90
    Activations Density 0.121%

    No Known Activations