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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. 9336
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    Explanations

    statistics or numerical averages

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical averages across various contexts

    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
    burg
    -0.76
    fect
    -0.74
    nuts
    -0.72
    nut
    -0.68
    opoly
    -0.64
    pur
    -0.64
    stra
    -0.62
    cit
    -0.62
    andro
    -0.61
    lez
    -0.61
    POSITIVE LOGITS
     ILCS
    0.88
    ioxide
    0.78
     hourly
    0.75
    lihood
    0.73
     expectancy
    0.73
     percentile
    0.71
    FontSize
    0.71
     msec
    0.71
     avg
    0.67
    mble
    0.67
    Activations Density 0.013%

    No Known Activations