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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. 4-RES-JB
    11. 24194
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    Explanations

    references to computer processors, particularly those related to the Intel Core series

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Core" product line in various contexts

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

    No Comments

    Negative Logits
    pez
    -0.84
    ufact
    -0.76
     sidel
    -0.75
     captcha
    -0.69
    IGHTS
    -0.69
    pard
    -0.68
    ospital
    -0.65
    oping
    -0.64
    arted
    -0.64
    ought
    -0.64
    POSITIVE LOGITS
    xit
    0.90
    opsis
    0.87
     Core
    0.86
    Graphics
    0.82
    utils
    0.81
    lington
    0.79
    Found
    0.79
    ference
    0.78
    lli
    0.76
    Flight
    0.74
    Activations Density 0.011%

    No Known Activations