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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. 6-RES-JB
    6. 22607
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    INDEX
    Explanations

    dates or time periods associated with events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical events and crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.70
    eric
    -0.58
     PLEASE
    -0.58
    reek
    -0.57
    sites
    -0.56
     reader
    -0.54
    cellaneous
    -0.53
    irms
    -0.53
    respond
    -0.52
    Fax
    -0.52
    POSITIVE LOGITS
     inception
    0.72
    cade
    0.65
    ãĤ¡
    0.62
     Sebast
    0.62
    )).
    0.60
     Dise
    0.60
     Democr
    0.60
     Schwarzenegger
    0.59
     Beckham
    0.59
     predecessor
    0.58
    Activations Density 0.911%

    No Known Activations