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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7600
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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 @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NSMutable
    -0.38
    <_>
    -0.33
     lámparas
    -0.31
     course
    -0.31
     traffic
    -0.30
     transported
    -0.30
     map
    -0.30
     direct
    -0.30
     spoke
    -0.30
     church
    -0.29
    POSITIVE LOGITS
     CreateTagHelper
    0.85
     Android
    0.69
     Huawei
    0.64
    AsUp
    0.64
     Nokia
    0.63
     handset
    0.62
     HUAWEI
    0.60
     Samsung
    0.60
     Oppo
    0.59
    Android
    0.58
    Activations Density 0.294%

    No Known Activations