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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. 8434
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    Explanations

    words related to higher education and academic pursuits, particularly focusing on graduate studies

    oai_token-act-pair · gpt-3.5-turbo

    references to graduate students or graduate programs

    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
    eger
    -0.71
     Shack
    -0.71
    pter
    -0.71
    pload
    -0.67
    lda
    -0.66
     constitu
    -0.66
    binary
    -0.63
    TAG
    -0.61
    oji
    -0.60
     Roads
    -0.60
    POSITIVE LOGITS
     student
    1.18
    uates
    1.14
    student
    1.09
     students
    1.01
     Student
    0.98
     school
    0.96
    uations
    0.96
     Students
    0.93
    uating
    0.89
     tuition
    0.87
    Activations Density 0.042%

    No Known Activations