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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. 4-RES-JB
    6. 311
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    Explanations

    mentions of the word "Mail" in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Mail"

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

    No Comments

    Negative Logits
    razil
    -0.75
    issan
    -0.70
    osed
    -0.69
    iscopal
    -0.64
    PsyNetMessage
    -0.63
    cffffcc
    -0.63
    structed
    -0.63
    displayText
    -0.62
    sem
    -0.62
    itial
    -0.61
    POSITIVE LOGITS
    bag
    1.22
    bags
    1.13
     Mail
    0.95
    mail
    0.92
    boxes
    0.92
    Mail
    0.89
    box
    0.88
    ing
    0.86
     Online
    0.82
     Box
    0.75
    Activations Density 0.008%

    No Known Activations