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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. 7-RES-JB
    11. 2260
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    Explanations

    references to box office performance and statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to box office performance and financial success of films

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fedora
    -0.77
     Oss
    -0.74
     Hast
    -0.74
    sonian
    -0.72
     Rails
    -0.70
     Mesh
    -0.70
     Gaia
    -0.69
    onomous
    -0.68
     Matter
    -0.66
     Alexis
    -0.66
    POSITIVE LOGITS
     domestically
    0.96
    ovies
    0.94
    ivals
    0.89
     theaters
    0.85
     sequels
    0.84
     blockbuster
    0.83
     receipts
    0.82
    gae
    0.80
     thriller
    0.78
    atform
    0.76
    Activations Density 0.131%

    No Known Activations