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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. 6-RES-JB
    6. 11288
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    Explanations

    phrases related to discussions, explanations, and categorizations involving specific terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of complex or legalistic language

    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
    waukee
    -0.64
    ipeg
    -0.60
     Hobby
    -0.57
    ÃĥÃĤ
    -0.55
    Merit
    -0.55
     Hutch
    -0.54
     starved
    -0.54
     Alive
    -0.53
    Watch
    -0.53
     rampage
    -0.53
    POSITIVE LOGITS
     acron
    0.88
     "(
    0.87
     acronym
    0.85
     "-
    0.85
     initials
    0.84
     "+
    0.82
     wording
    0.79
     indicating
    0.78
     suffix
    0.77
     alphabet
    0.76
    Activations Density 0.865%

    No Known Activations