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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. 10-RES-JB
    6. 14282
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    INDEX
    Explanations

    dates expressed in a specific format, mainly in the context of statistics or reports

    oai_token-act-pair · gpt-3.5-turbo

    temporal references and time-related statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    drm
    -0.75
    ãĤ¤ãĥĪ
    -0.74
    forts
    -0.70
    Synopsis
    -0.69
    Appearance
    -0.69
    orge
    -0.67
    ãĤ¦ãĤ¹
    -0.67
    inges
    -0.66
    cffffcc
    -0.65
    matter
    -0.65
    POSITIVE LOGITS
     there
    1.04
     according
    1.04
     total
    0.97
    according
    0.92
     median
    0.90
     157
    0.89
     average
    0.88
     91
    0.88
     84
    0.87
     83
    0.87
    Activations Density 0.210%

    No Known Activations