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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. 2148
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    INDEX
    Explanations

    mentions of statements being said by various individuals

    oai_token-act-pair · gpt-3.5-turbo

    the expression of opinions and statements made by individuals

    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
    wcs
    -0.71
     Skydragon
    -0.69
    bole
    -0.69
    igslist
    -0.69
    aughtered
    -0.66
    impact
    -0.65
    itary
    -0.63
    quality
    -0.63
     Haram
    -0.62
     Breed
    -0.61
    POSITIVE LOGITS
     laughs
    0.93
     pauses
    0.92
     laughed
    0.86
     withd
    0.83
     laugh
    0.80
     paused
    0.79
     credits
    0.78
     smiles
    0.78
     passionately
    0.77
     encount
    0.75
    Activations Density 0.588%

    No Known Activations