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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. 10-RES-JB
    6. 72
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    INDEX
    Explanations

    phrases related to comparison, analysis, or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating commonality or shared experiences among groups of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SIGN
    -0.69
    hazard
    -0.68
    gression
    -0.65
    vertisement
    -0.65
    itud
    -0.64
    azard
    -0.63
    ernaut
    -0.63
    emption
    -0.63
    ————————
    -0.62
    urden
    -0.62
    POSITIVE LOGITS
     chefs
    1.04
     atheists
    1.00
     astronomers
    1.00
     rappers
    0.97
     brewers
    0.96
     feminists
    0.96
     gamers
    0.96
     philosophers
    0.95
     actresses
    0.93
     hikers
    0.92
    Activations Density 0.859%

    No Known Activations