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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. 7-RES-JB
    6. 20209
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    INDEX
    Explanations

    numbers with units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    various quantitative measures and specifications related to limits, distances, and economic factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nu
    -0.66
    ']
    -0.64
    Tea
    -0.63
     Gods
    -0.62
    tnc
    -0.61
     gluc
    -0.61
    íķ
    -0.60
    farious
    -0.60
    theless
    -0.59
    âĹ¼
    -0.59
    POSITIVE LOGITS
     apiece
    0.95
     (~
    0.68
     sandwic
    0.68
     weighs
    0.67
     compared
    0.67
     diameter
    0.66
    athon
    0.66
     commute
    0.66
    itent
    0.65
     encomp
    0.65
    Activations Density 0.296%

    No Known Activations