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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. 11-RES-JB
    6. 3395
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    Explanations

    terms related to job-related information, qualifications, and categories of workers

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with employment and organizational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknow
    -0.61
     skelet
    -0.57
    abus
    -0.55
    OLOG
    -0.51
    Spl
    -0.51
    raz
    -0.51
    atever
    -0.51
    dig
    -0.51
    icho
    -0.51
    dit
    -0.51
    POSITIVE LOGITS
     varies
    1.29
     reflects
    1.18
     differs
    1.17
     involves
    1.13
     constitutes
    1.12
     depends
    1.12
     tends
    1.12
     coincides
    1.12
     underscores
    1.12
     illustrates
    1.09
    Activations Density 0.400%

    No Known Activations