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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. 14868
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    Explanations

    some specific symbols and phrases that may not have a clear context from the given data

    oai_token-act-pair · gpt-3.5-turbo

    special characters and symbols in the text

    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
    sted
    -0.66
    wcs
    -0.64
    ramer
    -0.62
     marqu
    -0.62
    onite
    -0.61
     union
    -0.61
    TPPStreamerBot
    -0.59
    ement
    -0.59
    intern
    -0.58
     grazing
    -0.58
    POSITIVE LOGITS
     Fiction
    0.78
     Diseases
    0.68
    ORGE
    0.67
     Proced
    0.66
     Ibid
    0.65
     Continued
    0.64
     Cooldown
    0.63
     Sheen
    0.63
     Differences
    0.63
     Subjects
    0.63
    Activations Density 0.156%

    No Known Activations