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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8571
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    references to names and titles related to Ram, with a particular focus on characters or entities associated with that name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fromnode
    -0.37
    MANUEL
    -0.33
    MarshalTo
    -0.31
    getMonth
    -0.30
    DockStyle
    -0.30
    %)$
    -0.30
     jLabel
    -0.29
     duquel
    -0.29
     getLayout
    -0.29
    GetLength
    -0.29
    POSITIVE LOGITS
    jam
    0.59
    Bam
    0.59
    Jam
    0.56
    Gam
    0.56
     Gam
    0.55
     Yam
    0.55
    Lam
    0.54
     Bam
    0.54
    Tam
    0.53
     Jam
    0.52
    Activations Density 0.191%

    No Known Activations