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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. 3-RES-JB
    11. 5939
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    Explanations

    table numbers referenced in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to tables or structured data within a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    qua
    -0.78
    asio
    -0.78
    ¯
    -0.75
    vernment
    -0.72
    igious
    -0.69
    =-=-=-=-=-=-=-=-
    -0.66
    +.
    -0.65
     holiest
    -0.65
    ibal
    -0.63
    +)
    -0.61
    POSITIVE LOGITS
    table
    0.94
    cloth
    0.92
    Table
    0.91
    sheet
    0.86
     table
    0.85
     Table
    0.83
     TABLE
    0.82
     tables
    0.78
    tops
    0.77
    poons
    0.77
    Activations Density 0.011%

    No Known Activations