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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. 12230
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    INDEX
    Explanations

    references to historical time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades, particularly the 19th century

    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
    paralle
    -0.76
    eway
    -0.73
    acci
    -0.72
    etitive
    -0.72
    spin
    -0.69
    notation
    -0.69
    egal
    -0.68
    ndra
    -0.68
    ringe
    -0.67
    etary
    -0.67
    POSITIVE LOGITS
     1863
    0.83
     1861
    0.80
     1860
    0.75
     1862
    0.74
     1890
    0.73
     1900
    0.70
     1905
    0.70
     1909
    0.69
     1865
    0.69
     1910
    0.68
    Activations Density 0.016%

    No Known Activations