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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. 9-RES-JB
    6. 3963
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    Explanations

    abbreviations/acronyms followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    the end of sections or text content markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orate
    -0.85
    iard
    -0.74
    izons
    -0.71
    urate
    -0.70
    raising
    -0.63
    illard
    -0.62
    acting
    -0.61
    andel
    -0.61
    umen
    -0.61
    jamin
    -0.61
    POSITIVE LOGITS
    eways
    0.86
    zhen
    0.78
    atchewan
    0.76
    plings
    0.74
    ustain
    0.70
    cery
    0.70
    ority
    0.69
    atoon
    0.69
    utra
    0.69
    hett
    0.67
    Activations Density 0.243%

    No Known Activations