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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. 1-RES-JB
    11. 7623
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    Explanations

    names of locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to "Salt Lake."

    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
    merce
    -1.09
    mercial
    -0.83
    ufact
    -0.77
     therap
    -0.76
    orders
    -0.74
    enegger
    -0.73
    ordering
    -0.69
    alez
    -0.69
    pload
    -0.67
    student
    -0.64
    POSITIVE LOGITS
     Salt
    1.23
    Salt
    1.13
    zman
    0.89
     iod
    0.85
     salt
    0.82
    itude
    0.81
    bite
    0.79
    ash
    0.79
     Lake
    0.79
    water
    0.75
    Activations Density 0.002%

    No Known Activations