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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. 9-RES-JB
    11. 18375
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    INDEX
    Explanations

    specific events or occurrences related to dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    words indicating decisions or actions taken during significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     1961
    -0.92
     someday
    -0.91
     1997
    -0.91
     1990
    -0.91
     1951
    -0.90
     1996
    -0.90
     1947
    -0.89
     1991
    -0.87
     1956
    -0.87
     1978
    -0.87
    POSITIVE LOGITS
    cade
    0.74
    Reviewer
    0.74
    NAS
    0.73
     MSNBC
    0.73
     unveiling
    0.72
    BRE
    0.71
     Pastebin
    0.70
    EMS
    0.69
     announcing
    0.67
    UFC
    0.66
    Activations Density 0.839%

    No Known Activations