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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. 1-RES-JB
    6. 18995
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    INDEX
    Explanations

    words related to items or concepts that are considered expendable or disposable

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disposable and expendable resources or income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Graham
    -0.74
    ohn
    -0.73
    heimer
    -0.72
    alking
    -0.69
     Chatt
    -0.69
    ois
    -0.68
    sic
    -0.68
    ean
    -0.67
     Reverend
    -0.66
    iard
    -0.66
    POSITIVE LOGITS
     disposable
    1.31
     veter
    1.15
     occas
    0.97
     diapers
    0.97
     gobl
    0.84
     contrace
    0.83
     resil
    0.83
    ailability
    0.83
    elaide
    0.81
    cipled
    0.81
    Activations Density 0.005%

    No Known Activations