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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. 14604
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    INDEX
    Explanations

    phrases related to making decisions or taking actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to decision-making and agreements

    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
    iaries
    -0.73
    urches
    -0.72
    ories
    -0.71
     finances
    -0.69
     brackets
    -0.69
     disciplines
    -0.69
     raids
    -0.68
     classes
    -0.68
    itudes
    -0.66
    drops
    -0.65
    POSITIVE LOGITS
     somewhere
    0.82
    DragonMagazine
    0.76
    dylib
    0.75
    atical
    0.75
     whereby
    0.75
     apiece
    0.72
    like
    0.71
    ogram
    0.68
    earance
    0.66
    OSP
    0.65
    Activations Density 0.313%

    No Known Activations