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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 6185
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    Explanations

    negative experiences related to food service and quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     esternos
    -0.57
    Diweddarwch
    -0.56
    AccessorTable
    -0.56
    Personendaten
    -0.55
    تقاوى
    -0.54
     الحره
    -0.53
     Chwiliwch
    -0.47
    󠁴
    -0.47
    ########.
    -0.45
     препратки
    -0.44
    POSITIVE LOGITS
     tasteless
    0.93
     burnt
    0.78
     soggy
    0.78
     ined
    0.77
     burned
    0.73
     watery
    0.71
     bland
    0.69
     rubber
    0.68
     dry
    0.66
     tasted
    0.66
    Activations Density 0.203%

    No Known Activations