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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. 1-RES-JB
    6. 1892
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    INDEX
    Explanations

    words related to genetic and molecular biology, specifically focusing on molecules related to genetics such as oxygen and proteins

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biological processes or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erest
    -0.72
     objective
    -0.66
    sighted
    -0.62
     completion
    -0.62
     objectives
    -0.61
    real
    -0.61
     excellence
    -0.61
    riage
    -0.60
     accomplished
    -0.60
    skilled
    -0.60
    POSITIVE LOGITS
    ogen
    1.27
    etics
    1.13
    etic
    1.12
    alogy
    1.08
    ogens
    1.08
    ocide
    1.03
    etically
    1.01
    士
    1.00
    ãĤ¤ãĥĪ
    0.97
    omics
    0.91
    Activations Density 0.009%

    No Known Activations