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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. 6540
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    INDEX
    Explanations

    mentions and descriptions related to workplace activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "work."

    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
     Ukrain
    -0.92
    olic
    -0.72
     Russo
    -0.69
     Sov
    -0.69
     wholesale
    -0.65
    ACP
    -0.63
    emonic
    -0.62
     Bol
    -0.61
    laus
    -0.61
    pha
    -0.60
    POSITIVE LOGITS
    aday
    1.13
    station
    1.08
    bench
    1.00
     ethic
    0.97
    flows
    0.97
    manship
    0.93
    night
    0.92
    days
    0.89
    day
    0.89
    lifting
    0.87
    Activations Density 0.057%

    No Known Activations