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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. 19761
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    Explanations

    references to figures in a scientific context

    oai_token-act-pair · gpt-3.5-turbo

    references to figures and illustrations in a scientific 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
     inquest
    -0.77
     imperson
    -0.73
     affairs
    -0.71
    iscons
    -0.70
     grief
    -0.68
     deliber
    -0.67
     philosophies
    -0.66
    nesia
    -0.66
     educ
    -0.65
     philosophy
    -0.64
    POSITIVE LOGITS
    Figure
    0.85
     largeDownload
    0.80
    figure
    0.76
     illustrates
    0.74
    RW
    0.74
    fig
    0.73
     depicts
    0.71
     summar
    0.69
    ħĭ
    0.67
     Exhibit
    0.67
    Activations Density 0.077%

    No Known Activations