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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. 6618
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    Explanations

    specific forms or documents mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to forms or paperwork

    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
     railing
    -0.70
    >>\
    -0.65
     bark
    -0.63
     spree
    -0.62
    mins
    -0.61
    EStreamFrame
    -0.61
    wcs
    -0.60
    £ı
    -0.59
     Hots
    -0.59
     Seas
    -0.59
    POSITIVE LOGITS
    aldehyde
    1.40
    idable
    1.30
    atted
    1.27
    atter
    1.22
    ulas
    1.12
    ula
    1.11
    ulations
    1.01
    ulating
    0.99
    ulators
    0.96
    ats
    0.94
    Activations Density 0.032%

    No Known Activations