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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 16299
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    mentions of specific automotive models and statistical terms in a scientific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.46
    ]=$
    -0.44
     "/")
    -0.44
    Tore
    -0.43
    Defin
    -0.41
     Arrays
    -0.40
    vocable
    -0.40
    Havolalar
    -0.40
    XmlAccessorType
    -0.40
    tops
    -0.40
    POSITIVE LOGITS
     Gla
    0.91
     GL
    0.90
    Gla
    0.86
    GL
    0.80
     gla
    0.80
     Gl
    0.80
    Gl
    0.78
    gl
    0.78
     Glenn
    0.75
     Glo
    0.73
    Activations Density 1.878%

    No Known Activations