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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. 4430
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations and city names

    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
    vana
    -0.70
    thood
    -0.67
    atever
    -0.62
    renheit
    -0.60
    enegger
    -0.60
    amber
    -0.58
    mercial
    -0.57
    ollow
    -0.57
    aphael
    -0.56
    ãĥł
    -0.55
    POSITIVE LOGITS
     Rapids
    0.77
     Township
    0.72
     County
    0.70
     Heights
    0.66
     Packers
    0.62
     Chiefs
    0.62
     Athletics
    0.61
     State
    0.60
     Police
    0.59
    apolis
    0.59
    Activations Density 0.265%

    No Known Activations