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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. 10-RES-JB
    11. 10779
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    Explanations

    spokespersons or representatives from various organizations or departments

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating spokespersons or representatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pieces
    -0.79
    Thumbnail
    -0.77
    Synopsis
    -0.75
     pieces
    -0.75
     importantly
    -0.71
    piece
    -0.71
    ãĤ¦ãĤ¹
    -0.69
    Posted
    -0.69
    HTML
    -0.68
     strips
    -0.67
    POSITIVE LOGITS
     Gov
    1.02
     Amnesty
    0.92
     the
    0.82
     Mayor
    0.82
     Judicial
    0.80
     Citizenship
    0.80
     Customs
    0.80
     Answers
    0.80
     Tourism
    0.79
     Immigration
    0.78
    Activations Density 0.117%

    No Known Activations