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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. 6-RES-JB
    6. 4939
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    INDEX
    Explanations

    mentions or references to universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities and higher education institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    othy
    -0.84
    trap
    -0.79
    BOOK
    -0.76
    adow
    -0.70
    Jere
    -0.68
    BACK
    -0.68
    avior
    -0.66
    owder
    -0.65
    riot
    -0.64
    ppings
    -0.64
    POSITIVE LOGITS
     campuses
    1.08
     tuition
    1.07
    uates
    0.97
     lecturer
    0.91
     campus
    0.89
    educated
    0.89
     educated
    0.88
     fraternity
    0.85
     graduate
    0.84
     graduates
    0.82
    Activations Density 0.032%

    No Known Activations