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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. 8458
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    INDEX
    Explanations

    references to items or objects that are worn out or need replacement

    oai_token-act-pair · gpt-3.5-turbo

    variations of the words "wear" and "worn."

    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
    aminer
    -0.83
    emort
    -0.69
    ":["
    -0.69
    rieved
    -0.68
     COUR
    -0.65
    à¼
    -0.65
    Ĥ¬
    -0.65
    yrinth
    -0.64
    gdala
    -0.63
    akespeare
    -0.63
    POSITIVE LOGITS
     worn
    1.09
     apparel
    0.92
    ables
    0.86
     wearable
    0.84
     clothing
    0.83
     Wear
    0.82
    wear
    0.81
    bones
    0.80
    IGH
    0.80
     wear
    0.79
    Activations Density 0.019%

    No Known Activations