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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. 4-RES-JB
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    Explanations

    the word "Domino"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "domino" and related terms

    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
    jriwal
    -0.85
    enegger
    -0.78
     uptake
    -0.76
    duino
    -0.72
     favour
    -0.69
    ibaba
    -0.69
     sugg
    -0.68
    Downloadha
    -0.67
     prospect
    -0.65
     liking
    -0.64
    POSITIVE LOGITS
    Decl
    0.75
    CSS
    0.72
    DOM
    0.69
    Roberts
    0.69
    idal
    0.68
    assi
    0.67
    icated
    0.67
    ication
    0.66
    Rom
    0.66
     Fathers
    0.65
    Activations Density 0.080%

    No Known Activations