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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. 2-RES-JB
    6. 1140
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    Explanations

    references to students or individuals in an educational setting

    oai_token-act-pair · gpt-3.5-turbo

    references to students and their experiences in educational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.89
    UTERS
    -0.71
     Scot
    -0.70
     Shore
    -0.67
     Buk
    -0.64
    orne
    -0.60
     captivity
    -0.60
    sts
    -0.59
    ovy
    -0.58
     porous
    -0.58
    POSITIVE LOGITS
    children
    0.80
    folk
    0.78
     enrolled
    0.76
     Leilan
    0.76
    girls
    0.74
    student
    0.71
    lia
    0.70
    ploma
    0.70
    ele
    0.69
     redes
    0.69
    Activations Density 0.120%

    No Known Activations