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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. 24222
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names and references to individuals and organizations

    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
    rio
    -0.79
    rov
    -0.68
    olson
    -0.67
    ered
    -0.66
    negie
    -0.66
    umers
    -0.66
    inas
    -0.65
    oes
    -0.64
     Rhode
    -0.63
     Helsinki
    -0.62
    POSITIVE LOGITS
    duction
    0.88
    yssey
    0.83
    ibility
    0.80
    matic
    0.79
    mares
    0.77
    chwitz
    0.76
    gee
    0.74
    manship
    0.72
    readable
    0.72
    nce
    0.70
    Activations Density 0.033%

    No Known Activations