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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. 4129
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    Explanations

    consecutive sequences of characters "ora" with increasing activation levels, potentially related to a specific name or term

    oai_token-act-pair · gpt-3.5-turbo

    the name "Nora" and variations of the name "Ora."

    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
    ty
    -0.91
    enegger
    -0.84
    leness
    -0.80
    ulative
    -0.80
    lings
    -0.80
    lers
    -0.78
    ulates
    -0.75
    poor
    -0.74
    TY
    -0.73
    sheet
    -0.73
    POSITIVE LOGITS
    uthor
    0.95
    velength
    0.87
     Bore
    0.86
    cffffcc
    0.81
    izont
    0.76
    emon
    0.76
     bore
    0.73
     piercing
    0.73
     tremend
    0.71
    qua
    0.71
    Activations Density 0.031%

    No Known Activations