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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. 3-RES-JB
    6. 277
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    INDEX
    Explanations

    references to surveys or analyses

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "survey" or discussions pertaining to surveys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     heirs
    -0.69
    leon
    -0.67
    ppa
    -0.65
    itol
    -0.64
    в
    -0.64
    ranged
    -0.64
    eret
    -0.62
    forge
    -0.62
    azy
    -0.62
     toast
    -0.61
    POSITIVE LOGITS
    Quality
    0.68
     Quant
    0.67
     firsthand
    0.67
     Forensic
    0.64
    ellen
    0.63
     Starr
    0.62
     interviewing
    0.62
    MRI
    0.62
    idelines
    0.62
     conducted
    0.62
    Activations Density 0.770%

    No Known Activations