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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. 10-RES-JB
    6. 23936
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    Explanations

    instructions for performing actions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to the reader's actions and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ooters
    -0.63
    aughs
    -0.63
     abound
    -0.62
    recy
    -0.62
    acular
    -0.62
     perks
    -0.61
     unthinkable
    -0.61
    WAYS
    -0.61
     reperto
    -0.60
    eties
    -0.59
    POSITIVE LOGITS
     intended
    0.93
     selected
    0.91
    umbn
    0.91
     originally
    0.89
     chosen
    0.86
     requested
    0.84
     assigned
    0.82
     desired
    0.80
     supposed
    0.78
     photographed
    0.76
    Activations Density 0.221%

    No Known Activations