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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8658
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    words related to boots and mud

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    principalColumn
    -0.50
     Stadtteil
    -0.47
    delijk
    -0.45
    __":
    -0.43
     Handwerk
    -0.42
     Haddad
    -0.42
    ulica
    -0.41
    }}}
    -0.41
    weightedMode
    -0.41
     Publikum
    -0.41
    POSITIVE LOGITS
     mud
    0.76
     boot
    0.71
     Mud
    0.70
    Mud
    0.66
     Mars
    0.65
     Wal
    0.62
    mud
    0.60
     dirt
    0.60
     MUD
    0.57
    Wal
    0.57
    Activations Density 0.406%

    No Known Activations