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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. 3-RES-JB
    11. 24167
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    Explanations

    phrases related to sports and specific sports figures

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports figures and teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MacArthur
    -0.77
     Krist
    -0.71
    spring
    -0.71
     Jonah
    -0.66
    Norm
    -0.64
     Palmer
    -0.63
    enegger
    -0.63
     Falk
    -0.62
    VR
    -0.61
     Schwarzenegger
    -0.61
    POSITIVE LOGITS
    Ò
    0.76
    isine
    0.76
    folios
    0.74
    ascus
    0.73
    ilon
    0.72
    folio
    0.72
    rov
    0.72
    rolet
    0.71
    olicy
    0.71
    ovi
    0.70
    Activations Density 0.015%

    No Known Activations