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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. 11936
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    Explanations

    technical documents or reports

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and videos in written documents

    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
    omething
    -0.70
    inyl
    -0.65
    utenberg
    -0.63
    gradient
    -0.62
    Morning
    -0.60
    wcs
    -0.59
    ystem
    -0.58
    false
    -0.58
    imens
    -0.56
    ancial
    -0.56
    POSITIVE LOGITS
     above
    0.68
     opener
    0.64
    amas
    0.64
    pheus
    0.61
    ultimate
    0.60
     GOODMAN
    0.60
    EE
    0.59
     itself
    0.59
     onwards
    0.59
    verse
    0.58
    Activations Density 0.260%

    No Known Activations