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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. 9965
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    Explanations

    strings of numbers followed by medical terms

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics, particularly related to status codes or identifiers

    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
     nomine
    -0.64
     squares
    -0.54
     nearest
    -0.52
     interactive
    -0.52
     easiest
    -0.52
     Vest
    -0.52
     ranged
    -0.51
     gloom
    -0.51
     nonpartisan
    -0.50
     newsp
    -0.50
    POSITIVE LOGITS
    488
    1.21
    776
    1.18
    449
    1.18
    685
    1.18
    659
    1.18
    648
    1.17
    44
    1.17
    485
    1.17
    446
    1.17
    456
    1.17
    Activations Density 0.023%

    No Known Activations