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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. 12109
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    Explanations

    phrases related to legal matters and legislation

    oai_token-act-pair · gpt-3.5-turbo

    punctuations, specifically commas

    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
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.67
    conference
    -0.62
    bryce
    -0.59
    ULAR
    -0.59
     bluff
    -0.57
    -,
    -0.57
    Detailed
    -0.56
    Engineers
    -0.55
    Async
    -0.54
    ãĥ¥
    -0.54
    POSITIVE LOGITS
     however
    1.23
     though
    0.98
     moreover
    0.88
     although
    0.87
     according
    0.78
     meanwhile
    0.78
     please
    0.76
     we
    0.69
     alas
    0.69
    thodox
    0.66
    Activations Density 0.205%

    No Known Activations