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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. 6-RES-JB
    11. 17025
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    Explanations

    college or university names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of academic institutions, specifically colleges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.72
    ktop
    -0.71
    NVIDIA
    -0.66
    chenko
    -0.65
     bre
    -0.61
    ulkan
    -0.61
    utra
    -0.61
    imura
    -0.60
     sled
    -0.60
    ãĥ´
    -0.60
    POSITIVE LOGITS
    hurst
    0.83
    Grade
    0.82
     Degree
    0.81
     Station
    0.79
     graduates
    0.78
    Hum
    0.77
    ritch
    0.77
     Chapel
    0.76
    essor
    0.74
    omore
    0.73
    Activations Density 0.018%

    No Known Activations