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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. 5-RES-JB
    6. 10547
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    Explanations

    references to the film industry

    oai_token-act-pair · gpt-3.5-turbo

    references to films and the film industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rique
    -0.69
    owder
    -0.67
    etheless
    -0.66
    lished
    -0.65
    utherford
    -0.62
     probable
    -0.62
    ptoms
    -0.62
    ursed
    -0.61
    uckles
    -0.59
    ained
    -0.58
    POSITIVE LOGITS
    lihood
    0.80
    rities
    0.70
     ridic
    0.69
    hang
    0.68
    wright
    0.66
     portraying
    0.65
     depicting
    0.65
     portrays
    0.64
     Boat
    0.64
    culosis
    0.62
    Activations Density 0.418%

    No Known Activations