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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. 8-RES-JB
    6. 19929
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    Explanations

    words related to entities or companies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of "ity," indicating states, qualities, or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.79
    escription
    -0.78
    kef
    -0.74
    kers
    -0.73
    hester
    -0.71
    ker
    -0.70
    GER
    -0.70
    kson
    -0.69
    ergy
    -0.69
    acan
    -0.68
    POSITIVE LOGITS
     Peb
    1.02
     Principle
    0.77
     quot
    0.71
     Pwr
    0.70
     Charm
    0.66
     assurance
    0.66
     quo
    0.66
    uary
    0.66
     charms
    0.64
    ously
    0.62
    Activations Density 0.074%

    No Known Activations