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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. 2-RES-JB
    11. 11974
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    Explanations

    references to documents or documentation

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tone
    -0.73
     Mara
    -0.69
    bye
    -0.66
     Sabha
    -0.62
     DeL
    -0.61
     Reach
    -0.61
     nomine
    -0.61
     Bowser
    -0.60
     Royale
    -0.60
    anism
    -0.60
    POSITIVE LOGITS
    doc
    1.33
    uments
    1.30
     doc
    1.13
    ect
    0.95
    icist
    0.91
    Document
    0.91
    docs
    0.87
    herty
    0.86
    umen
    0.86
    ument
    0.85
    Activations Density 0.008%

    No Known Activations