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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. 8931
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    Explanations

    directors of movies

    oai_token-act-pair · gpt-3.5-turbo

    references to movie directors

    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
     Leafs
    -0.87
    MpServer
    -0.79
    bitcoin
    -0.73
    ibaba
    -0.71
    croft
    -0.67
    bian
    -0.66
     iodine
    -0.64
     Carrier
    -0.63
    imaru
    -0.63
    tnc
    -0.63
    POSITIVE LOGITS
    urally
    1.03
     studios
    0.94
    ial
    0.91
     Studios
    0.85
     studio
    0.83
     filmmaker
    0.82
     filmmakers
    0.82
    ovie
    0.82
     screenplay
    0.81
     cinem
    0.80
    Activations Density 0.056%

    No Known Activations