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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. 2-RES-JB
    11. 14717
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    Explanations

    phrases related to physical infrastructures or building facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of facilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sen
    -0.77
    shoot
    -0.67
    sson
    -0.65
    tail
    -0.64
    allo
    -0.62
    oner
    -0.62
    xious
    -0.62
    lihood
    -0.62
    thin
    -0.61
    uscript
    -0.61
    POSITIVE LOGITS
     facilities
    1.09
    afety
    0.97
     Facilities
    0.92
     facility
    0.85
     accommodations
    0.81
    ility
    0.80
     Facility
    0.77
    anooga
    0.75
     restrooms
    0.73
    chwitz
    0.73
    Activations Density 0.014%

    No Known Activations