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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. 4-RES-JB
    11. 22592
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    Explanations

    keywords related to database columns and table structures

    oai_token-act-pair · gpt-3.5-turbo

    references to database columns and related operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    asio
    -0.92
    arij
    -0.73
    ebus
    -0.70
    GoldMagikarp
    -0.70
    Ire
    -0.66
     parap
    -0.66
     fumes
    -0.65
    HAEL
    -0.65
     practition
    -0.65
     resurg
    -0.64
    POSITIVE LOGITS
     header
    0.83
     schema
    0.79
     headers
    0.78
     delim
    0.77
     rows
    0.77
    entity
    0.77
    header
    0.77
    ('
    0.75
    ['
    0.74
    metadata
    0.74
    Activations Density 0.054%

    No Known Activations