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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. 9-RES-JB
    11. 2990
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    INDEX
    Explanations

    phrases related to beginnings, transitions, or events happening

    oai_token-act-pair · gpt-3.5-turbo

    references to auctions and market activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.78
    SourceFile
    -0.71
    isin
    -0.70
    ordinate
    -0.70
    manship
    -0.69
    ItemThumbnailImage
    -0.66
    ieties
    -0.66
    arius
    -0.63
    Iterator
    -0.62
    LOG
    -0.61
    POSITIVE LOGITS
     streets
    1.05
     spotlight
    0.98
     sidelines
    0.95
     slopes
    0.95
     brink
    0.92
     podium
    0.92
     forefront
    0.92
     skies
    0.90
     fray
    0.90
     trenches
    0.87
    Activations Density 0.226%

    No Known Activations