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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. 8-RES-JB
    11. 10220
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    Explanations

    tutorials or demonstrations on how to accomplish various tasks or objectives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "how" in various contexts, often related to instructions or explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oubted
    -0.72
    topic
    -0.66
    oubt
    -0.61
    ãģĮ
    -0.61
    EStream
    -0.59
    izu
    -0.59
    enment
    -0.58
    ãģ¨
    -0.58
    night
    -0.57
    peak
    -0.56
    POSITIVE LOGITS
    soever
    0.90
    beit
    0.83
    ls
    0.79
    lers
    0.73
    ling
    0.73
     much
    0.71
    lings
    0.69
    ells
    0.68
    itzer
    0.67
     effortlessly
    0.66
    Activations Density 0.086%

    No Known Activations