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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. 0-RES-JB
    11. 13953
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    Explanations

    numerical mentions along with physical properties or locations

    oai_token-act-pair · gpt-3.5-turbo

    numerals and references to quantities or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itably
    -0.83
    irlf
    -0.81
    ancial
    -0.80
    ividual
    -0.79
    escription
    -0.79
    uilt
    -0.74
    ;;;;;;;;;;;;
    -0.71
    mercial
    -0.69
    lished
    -0.67
    ividually
    -0.66
    POSITIVE LOGITS
    CLASSIFIED
    0.93
    NetMessage
    0.83
    WAYS
    0.79
     largeDownload
    0.75
    natureconservancy
    0.74
     behavi
    0.72
    GoldMagikarp
    0.72
    Balt
    0.72
    Interstitial
    0.70
     toile
    0.69
    Activations Density 3.892%

    No Known Activations