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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 19907
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    Explanations

    terms related to different types of professions, such as specific occupations and job titles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to employment and service industries

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

    No Comments

    Negative Logits
    cale
    -1.03
    uden
    -0.86
    undrum
    -0.81
    iggurat
    -0.79
    hirt
    -0.77
     Carbuncle
    -0.76
    ndra
    -0.75
    ulu
    -0.75
    mma
    -0.75
    yip
    -0.74
    POSITIVE LOGITS
     registrations
    0.93
     associations
    0.88
     movements
    0.86
     populations
    0.85
     sites
    0.84
     rosters
    0.83
     sizes
    0.82
     responses
    0.82
     operations
    0.81
     plac
    0.81
    Activations Density 0.675%

    No Known Activations