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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. 1-RES-JB
    6. 24401
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    INDEX
    Explanations

    references to orphans and unrecognized entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to orphans and their situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reens
    -0.90
    RT
    -0.81
    UD
    -0.81
    Hour
    -0.77
    ickr
    -0.71
    aeda
    -0.71
    andals
    -0.69
    rontal
    -0.69
    ordan
    -0.68
    rim
    -0.68
    POSITIVE LOGITS
     orphan
    1.46
     orphans
    1.29
    phan
    1.00
    phans
    0.89
    sylvania
    0.81
     Annie
    0.81
     Icar
    0.79
     pup
    0.76
    minecraft
    0.75
     pige
    0.74
    Activations Density 0.004%

    No Known Activations