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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. 5-RES-JB
    6. 15472
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    INDEX
    Explanations

    references to specific years and data points related to statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    years

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yout
    -0.76
    itton
    -0.74
    atem
    -0.73
     lawy
    -0.73
    cott
    -0.69
    CHAT
    -0.65
    helps
    -0.64
     fax
    -0.64
    ype
    -0.63
     parap
    -0.61
    POSITIVE LOGITS
     onwards
    0.90
    â̲
    0.84
     GDP
    0.83
    regate
    0.80
    terms
    0.76
    -'
    0.75
     Census
    0.72
    âĢij
    0.69
     Definition
    0.66
     census
    0.65
    Activations Density 0.177%

    No Known Activations