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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 1360
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    Explanations

    mentions of legal statutes or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to legal statutes and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wig
    -0.75
    Cash
    -0.70
    ebus
    -0.68
     attendants
    -0.65
     Gur
    -0.65
     Tycoon
    -0.63
     Turk
    -0.63
    edo
    -0.62
    gettable
    -0.62
    ilon
    -0.61
    POSITIVE LOGITS
     enforcement
    0.81
    Effective
    0.79
     expires
    0.79
     prohibiting
    0.77
     authorizing
    0.76
    isms
    0.75
     enacted
    0.75
     Citation
    0.74
    IDER
    0.74
     violations
    0.74
    Activations Density 0.034%

    No Known Activations