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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. 9-RES-JB
    6. 749
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    Explanations

    phone numbers, addresses, and other identification numbers in the text

    oai_token-act-pair · gpt-3.5-turbo

    identifiers, particularly numbers associated with personal information such as license plates and phone numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reci
    -0.82
    kus
    -0.73
    issance
    -0.72
    ossom
    -0.71
    lux
    -0.71
    EMENT
    -0.70
    ulp
    -0.70
    romeda
    -0.69
    ittle
    -0.69
    assic
    -0.68
    POSITIVE LOGITS
    plates
    0.92
     redacted
    0.91
     spoof
    0.86
     dial
    0.82
     anonym
    0.79
     Aadhaar
    0.78
     passwords
    0.78
     aliases
    0.78
     "@
    0.77
     lookup
    0.77
    Activations Density 0.122%

    No Known Activations