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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. 7-RES-JB
    6. 14966
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    Explanations

    technical terms related to various domains such as disaster management, web development, medical research, and academic discussions

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to warnings, prevention, and various types of assessments and checks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.73
    odka
    -0.70
    omething
    -0.69
     tremend
    -0.66
    cale
    -0.66
     thous
    -0.66
     athlet
    -0.64
    aiman
    -0.63
    awaru
    -0.63
     Sheen
    -0.63
    POSITIVE LOGITS
    able
    0.95
    ings
    0.87
     counts
    0.85
     sheets
    0.84
     submissions
    0.84
     registrations
    0.81
    makers
    0.81
     registration
    0.81
     sites
    0.81
    ees
    0.80
    Activations Density 0.496%

    No Known Activations