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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. 7-RES-JB
    6. 9242
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    Explanations

    words indicating the ability to endure or maintain something over time

    oai_token-act-pair · gpt-3.5-turbo

    terms related to maintaining or continuing processes or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.76
     Blossom
    -0.76
    onym
    -0.75
    istry
    -0.72
     Jere
    -0.69
     GOODMAN
    -0.69
     plaza
    -0.66
    shop
    -0.64
    ography
    -0.64
    Ĭ±
    -0.62
    POSITIVE LOGITS
    ably
    1.07
    mental
    0.97
     sustained
    0.95
     sustain
    0.86
    ency
    0.82
    ments
    0.81
     sustaining
    0.79
    nces
    0.78
    encies
    0.76
    aign
    0.76
    Activations Density 0.031%

    No Known Activations