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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 16849
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    Explanations

    timestamps in text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific points in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
    -0.87
    haar
    -0.72
    halla
    -0.71
    warts
    -0.67
    allas
    -0.65
    mers
    -0.63
    aden
    -0.61
    emale
    -0.61
    ebted
    -0.59
    itary
    -0.59
    POSITIVE LOGITS
     Newsweek
    0.69
    isch
    0.66
    frames
    0.63
    ZI
    0.62
    bell
    0.62
    code
    0.61
     frame
    0.61
    cens
    0.58
     advertised
    0.58
     filming
    0.57
    Activations Density 0.044%

    No Known Activations