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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. 15671
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    INDEX
    Explanations

    references to television shows and series

    oai_token-act-pair · gpt-3.5-turbo
    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
    xit
    -0.77
     sshd
    -0.76
    votes
    -0.73
    tics
    -0.71
    holes
    -0.71
    cius
    -0.69
    inventoryQuantity
    -0.69
    maxwell
    -0.68
    Lago
    -0.68
     levers
    -0.67
    POSITIVE LOGITS
     adaptation
    1.43
     sitcom
    1.28
     series
    1.20
     anthology
    1.19
     comedy
    1.18
     thriller
    1.16
     remake
    1.15
     incarnation
    1.10
     sequel
    1.05
     documentary
    1.05
    Activations Density 0.124%

    No Known Activations