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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. 7604
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    INDEX
    Explanations

    phrases related to employment and job creation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of jobs and employment

    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
     Revision
    -0.74
    yx
    -0.73
     Flavoring
    -0.66
     curv
    -0.65
     Totem
    -0.64
     Oo
    -0.61
    beam
    -0.61
     Narc
    -0.61
    sonian
    -0.60
    theless
    -0.58
    POSITIVE LOGITS
     jobs
    0.85
    jobs
    0.84
    lif
    0.80
    anooga
    0.80
    uilt
    0.77
    Builder
    0.75
    manship
    0.75
    hops
    0.73
    paces
    0.72
    estern
    0.72
    Activations Density 0.037%

    No Known Activations