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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. 11-RES-JB
    11. 11608
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    INDEX
    Explanations

    structured data patterns such as slashes, underscores, and vertical bars

    oai_token-act-pair · gpt-3.5-turbo

    formatted textual elements, particularly underscores or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.78
     Vide
    -0.69
     Reef
    -0.66
     Divide
    -0.66
     exch
    -0.65
     graft
    -0.61
     Mate
    -0.61
     divers
    -0.61
     plateau
    -0.61
     gaping
    -0.59
    POSITIVE LOGITS
    EStreamFrame
    1.07
    /_
    1.00
    POS
    1.00
    ãĥĦ
    0.99
    _-
    0.98
    THIS
    0.97
    ._
    0.96
    _.
    0.94
     _
    0.94
    DER
    0.94
    Activations Density 0.029%

    No Known Activations