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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. 8-RES-JB
    6. 22929
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    INDEX
    Explanations

    mentions of high schools by name and related information

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their students

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.75
    lyak
    -0.74
     GoPro
    -0.70
     compromises
    -0.67
    ãĥ¼ãĥ³
    -0.65
    eu
    -0.65
     Cargo
    -0.63
     pardon
    -0.63
     Taxi
    -0.63
    NetMessage
    -0.62
    POSITIVE LOGITS
    Students
    1.68
     school
    1.67
     students
    1.66
    School
    1.64
     Students
    1.60
     kindergarten
    1.60
    College
    1.58
     student
    1.58
     undergrad
    1.57
     School
    1.57
    Activations Density 1.249%

    No Known Activations