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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
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    Explanations

    the word "dozen" with a strong activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dozen" in various contexts

    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
    ppers
    -0.64
     Bonds
    -0.62
    val
    -0.61
    bro
    -0.60
    grades
    -0.60
    thur
    -0.58
     Hemp
    -0.58
    ICO
    -0.57
     Fraser
    -0.57
    imir
    -0.56
    POSITIVE LOGITS
    uously
    0.97
    dozen
    0.96
     thousand
    0.95
     Thousand
    0.94
     dozen
    0.94
    uous
    0.85
     consecutive
    0.81
    acity
    0.81
    wcsstore
    0.78
     iterations
    0.74
    Activations Density 0.010%

    No Known Activations