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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. 11-RES-JB
    6. 2728
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    INDEX
    Explanations

    references to teachers or actions related to teaching

    oai_token-act-pair · gpt-3.5-turbo

    mentions of teachers and their roles or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rils
    -0.80
    rencies
    -0.77
    axy
    -0.76
    ose
    -0.73
    obin
    -0.73
     launchers
    -0.70
     Launcher
    -0.69
    00200000
    -0.69
    hawks
    -0.69
    tera
    -0.68
    POSITIVE LOGITS
     Teachers
    1.09
     unions
    1.05
     teachers
    1.04
     teacher
    1.02
     Teacher
    1.01
     teaching
    1.00
     instructors
    0.92
     educators
    0.89
     instructor
    0.87
     assistants
    0.87
    Activations Density 0.050%

    No Known Activations