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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. 21991
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    Explanations

    references to financial or numerical information

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "ANN" which likely indicates a focus on artificial neural networks

    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
    ©¶æ
    -0.72
     membrane
    -0.69
     Wilderness
    -0.69
    rero
    -0.68
    EStreamFrame
    -0.67
     subsistence
    -0.65
     Hue
    -0.63
     logger
    -0.63
    uper
    -0.60
    kes
    -0.60
    POSITIVE LOGITS
    iversary
    1.25
    ANN
    1.22
     ANN
    1.08
    ounce
    1.01
    IVERS
    0.97
    apolis
    0.96
    ICAN
    0.90
    INA
    0.90
    abeth
    0.88
    unciation
    0.88
    Activations Density 0.009%

    No Known Activations