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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. 10661
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    Explanations

    the word "sense" when used in a context of logic or reason

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote understanding or logical reasoning

    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
    enne
    -0.69
    astered
    -0.68
    venge
    -0.67
    ewitness
    -0.67
    berus
    -0.63
    ching
    -0.63
    vol
    -0.63
    inent
    -0.63
    inous
    -0.63
    aunting
    -0.63
    POSITIVE LOGITS
     partName
    0.78
     why
    0.76
    INESS
    0.76
    soDeliveryDate
    0.76
    é¾įå¥ij士
    0.74
     Eater
    0.74
     WHY
    0.69
    imaru
    0.69
    DragonMagazine
    0.68
    Compat
    0.68
    Activations Density 0.028%

    No Known Activations