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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. 7-RES-JB
    11. 327
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    Explanations

    references to ages or time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to age-related topics or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pard
    -0.88
    IFIED
    -0.71
    etheless
    -0.71
    ounced
    -0.71
     srf
    -0.70
    icker
    -0.68
     carbohyd
    -0.67
    ilda
    -0.66
    bledon
    -0.65
    rongh
    -0.64
    POSITIVE LOGITS
    llan
    1.08
    llo
    1.00
     Journals
    0.90
    ments
    0.83
    lla
    0.79
     Mutant
    0.72
    xia
    0.71
    uses
    0.70
     Thumbnails
    0.69
    ously
    0.68
    Activations Density 0.048%

    No Known Activations