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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. 6-RES-JB
    11. 12167
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    Explanations

    references to film directors and their roles in movie production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    director names

    oai_token-act-pair · gpt-3.5-turbo
    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
    MpServer
    -0.81
     Leafs
    -0.80
    bitcoin
    -0.69
     Labrador
    -0.68
    orem
    -0.67
    Lago
    -0.66
    ibaba
    -0.65
     Burlington
    -0.64
     WTO
    -0.62
    bian
    -0.62
    POSITIVE LOGITS
    urally
    0.94
     studios
    0.91
     Studios
    0.88
     filmmaker
    0.84
    director
    0.81
     studio
    0.81
    writer
    0.80
    ography
    0.80
     composer
    0.80
     filmmakers
    0.80
    Activations Density 0.055%

    No Known Activations