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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. 5-RES-JB
    6. 4127
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    INDEX
    Explanations

    words related to physical space or size, such as measurements and dimensions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "footprint" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.77
    itals
    -0.71
    erest
    -0.70
    actionDate
    -0.68
    regulated
    -0.67
    rators
    -0.66
    ending
    -0.66
    ifying
    -0.65
    sell
    -0.65
    kaya
    -0.65
    POSITIVE LOGITS
     footprint
    1.24
     footprints
    1.08
    ////////////////
    0.73
    print
    0.71
     Shoals
    0.70
     Trash
    0.67
    eless
    0.64
    ystem
    0.64
    gie
    0.64
    =~
    0.63
    Activations Density 0.017%

    No Known Activations