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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9282
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    Explanations

    terms related to railroads and rail infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UnknownFieldSet
    -0.79
     continuant
    -0.78
     MonoBehaviour
    -0.70
    ]")]
    -0.66
     Constitucional
    -0.65
    engineer
    -0.65
    tellations
    -0.65
    useState
    -0.64
     Monfieur
    -0.64
     bouquet
    -0.64
    POSITIVE LOGITS
     rail
    2.19
     Rail
    2.07
    Rail
    1.99
    rail
    1.94
     RAIL
    1.88
     railway
    1.82
     Railway
    1.73
    RAIL
    1.71
     rails
    1.68
    railway
    1.59
    Activations Density 0.064%

    No Known Activations