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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 12315
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    Explanations

    phrases involving the concept of "having a chance" or "opportunity" to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating opportunities or chances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.81
    advertising
    -0.78
    existent
    -0.76
    requires
    -0.76
    furt
    -0.76
     Needs
    -0.75
    quickShipAvailable
    -0.69
    dependent
    -0.68
     Falls
    -0.67
    ãĥ´ãĤ¡
    -0.65
    POSITIVE LOGITS
     indulge
    1.17
     explore
    1.14
     participate
    1.12
     engage
    1.09
     learn
    1.07
     celebrate
    1.05
     meet
    1.05
     demonstrate
    1.04
     showcase
    1.04
     negotiate
    1.04
    Activations Density 0.068%

    No Known Activations