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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. 21398
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    Explanations

    references to numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    expressions of acknowledgment or recognition

    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
    ajo
    -0.53
    adelphia
    -0.51
    MSN
    -0.50
    unity
    -0.50
    ibrary
    -0.50
    ocene
    -0.49
    neys
    -0.49
    monton
    -0.48
    ippi
    -0.47
     and
    -0.46
    POSITIVE LOGITS
     consequently
    0.92
     alike
    0.89
     thereof
    0.85
     consequ
    0.81
     accordingly
    0.80
     thereto
    0.78
     thereafter
    0.77
     therein
    0.75
     thereby
    0.71
    SPONSORED
    0.71
    Activations Density 0.885%

    No Known Activations