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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. 11797
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or statements related to legal actions or political controversies

    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
     pinch
    -0.69
     Curve
    -0.66
     wiser
    -0.65
     agility
    -0.65
     flats
    -0.63
     offline
    -0.62
     curves
    -0.61
     wanting
    -0.61
     tempted
    -0.61
     engagements
    -0.61
    POSITIVE LOGITS
    Scroll
    0.99
    ³³³³³³³³
    0.97
    PHOTOS
    0.93
    WASHINGTON
    0.90
    ³³³³
    0.85
    Amid
    0.85
    ³³³
    0.83
    使
    0.81
    Story
    0.80
    ³³³³³³³³³³³³³³³³
    0.79
    Activations Density 0.440%

    No Known Activations