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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. 1291
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    Explanations

    a mixture of words and numbers with various characters and formatting that doesn't seem to have a specific pattern

    oai_token-act-pair · gpt-3.5-turbo

    non-standard characters, symbols, and email-related content

    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
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    ufact
    -0.63
    ģĸ
    -0.63
    ISA
    -0.59
    kus
    -0.59
    ãĤ¨ãĥ«
    -0.58
    haar
    -0.57
    elta
    -0.56
     practition
    -0.55
    inctions
    -0.55
    POSITIVE LOGITS
    enged
    0.56
     bridges
    0.54
     mirrors
    0.52
    iland
    0.51
     stalls
    0.50
     intermitt
    0.49
    clock
    0.48
     nails
    0.48
    rollers
    0.48
    steamapps
    0.47
    Activations Density 1.343%

    No Known Activations