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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. 9415
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    Explanations

    terms related to official or formal documents or communications

    oai_token-act-pair · gpt-3.5-turbo

    references to formal proposals, statements, and claims within texts

    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
    aples
    -0.70
    iliated
    -0.66
    ategory
    -0.65
     oneself
    -0.65
    everal
    -0.65
    byter
    -0.64
     advertis
    -0.63
    arah
    -0.62
    ordinate
    -0.62
    ccording
    -0.61
    POSITIVE LOGITS
     spree
    0.77
    fulness
    0.68
    mates
    0.67
    iques
    0.67
     exploits
    0.64
     regarding
    0.64
     masterpiece
    0.63
     creations
    0.62
     selections
    0.62
    naires
    0.62
    Activations Density 0.341%

    No Known Activations