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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. 4-RES-JB
    6. 15054
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    INDEX
    Explanations

    words related to historical periods, famous movies, and filmmakers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific films and their associated themes

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

    No Comments

    Negative Logits
    redo
    -0.78
    leader
    -0.77
    rooms
    -0.75
    hips
    -0.73
    sheet
    -0.73
    lying
    -0.69
    sheets
    -0.69
    isSpecialOrderable
    -0.68
    held
    -0.68
    rated
    -0.68
    POSITIVE LOGITS
    osaurs
    1.22
     Jurassic
    1.15
    assic
    0.97
     Park
    0.88
    osaurus
    0.87
    aceous
    0.81
    itect
    0.72
     Dinosaur
    0.71
    olit
    0.70
    ãĥ©ãĥ³
    0.69
    Activations Density 0.010%

    No Known Activations