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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. 5754
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    INDEX
    Explanations

    years, particularly focusing on the year 1983

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1983 and related historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    hop
    -0.76
    hed
    -0.72
    edge
    -0.70
    unders
    -0.68
    edo
    -0.64
     lawy
    -0.64
     entirety
    -0.63
    bow
    -0.61
    Ship
    -0.61
    iant
    -0.59
    POSITIVE LOGITS
    ixties
    0.76
    å¹
    0.74
    -'
    0.70
     Schwarzenegger
    0.70
     ����
    0.69
    ãĥ¼
    0.65
    orporated
    0.65
    nikov
    0.65
     Gandhi
    0.65
    ICT
    0.63
    Activations Density 0.035%

    No Known Activations