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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3550
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    INDEX
    Explanations

    the presence of numerical spans or ranges

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "span" and its variations, indicating a focus on duration or extent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illard
    -0.75
    tical
    -0.68
    eers
    -0.68
    ysis
    -0.67
    tics
    -0.64
     aspir
    -0.64
     assistants
    -0.64
     heirs
    -0.63
    ertodd
    -0.63
    sie
    -0.61
    POSITIVE LOGITS
    ning
    0.93
    ming
    0.91
     span
    0.91
    span
    0.90
     spanning
    0.87
    eworks
    0.84
    itime
    0.84
    ner
    0.79
    agy
    0.79
    ners
    0.78
    Activations Density 0.013%

    No Known Activations