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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. 2-RES-JB
    11. 6420
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    Explanations

    mentions of the word "rave" or its variations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neapolis
    -0.80
    ofi
    -0.70
    aturation
    -0.70
    aceous
    -0.68
    nesota
    -0.68
    alian
    -0.66
     nomine
    -0.64
     Cosponsors
    -0.62
    anooga
    -0.62
    hops
    -0.61
    POSITIVE LOGITS
    rave
    0.89
    llers
    0.88
    rers
    0.88
    lette
    0.87
    pees
    0.77
    rer
    0.74
    aughs
    0.73
     Disorders
    0.73
    rette
    0.71
    ller
    0.71
    Activations Density 0.012%

    No Known Activations